Plasma Proteome-Based Test for First-Line Treatment Selection in Metastatic Non-Small Cell Lung Cancer.

PURPOSE: Current guidelines for the management of metastatic non-small cell lung cancer (NSCLC) without driver mutations recommend checkpoint immunotherapy with PD-1/PD-L1 inhibitors, either alone or in combination with chemotherapy. This approach fails to account for individual patient variability and host immune factors and often results in less-than-ideal outcomes. To address the limitations of the current guidelines, we developed and subsequently blindly validated a machine learning algorithm using pretreatment plasma proteomic profiles for personalized treatment decisions. PATIENTS AND METHODS: We conducted a multicenter observational trial (ClinicalTrials.gov identifier: NCT04056247) of patients undergoing PD-1/PD-L1 inhibitor-based therapy (n = 540) and an additional patient cohort receiving chemotherapy (n = 85) who consented to pretreatment plasma and clinical data collection. Plasma proteome profiling was performed using SomaScan Assay v4.1. RESULTS: Our test demonstrates a strong association between model output and clinical benefit (CB) from PD-1/PD-L1 inhibitor-based treatments, evidenced by high concordance between predicted and observed CB (R2 = 0.98, P < .001). The test categorizes patients as either PROphet-positive or PROphet-negative and further stratifies patient outcomes beyond PD-L1 expression levels. The test successfully differentiates between PROphet-negative patients exhibiting high tumor PD-L1 levels (≥50%) who have enhanced overall survival when treated with a combination of immunotherapy and chemotherapy compared with immunotherapy alone (hazard ratio [HR], 0.23 [95% CI, 0.1 to 0.51], P = .0003). By contrast, PROphet-positive patients show comparable outcomes when treated with immunotherapy alone or in combination with chemotherapy (HR, 0.78 [95% CI, 0.42 to 1.44], P = .424). CONCLUSION: Plasma proteome-based testing of individual patients, in combination with standard PD-L1 testing, distinguishes patient subsets with distinct differences in outcomes from PD-1/PD-L1 inhibitor-based therapies. These data suggest that this approach can improve the precision of first-line treatment for metastatic NSCLC.

Biological insights from plasma proteomics of non-small cell lung cancer patients treated with immunotherapy.

Introduction: Immune checkpoint inhibitors have made a paradigm shift in the treatment of non-small cell lung cancer (NSCLC). However, clinical response varies widely and robust predictive biomarkers for patient stratification are lacking. Here, we characterize early on-treatment proteomic changes in blood plasma to gain a better understanding of treatment response and resistance. Methods: Pre-treatment (T0) and on-treatment (T1) plasma samples were collected from 225 NSCLC patients receiving PD-1/PD-L1 inhibitor-based regimens. Plasma was profiled using aptamer-based technology to quantify approximately 7000 plasma proteins per sample. Proteins displaying significant fold changes (T1:T0) were analyzed further to identify associations with clinical outcomes using clinical benefit and overall survival as endpoints. Bioinformatic analyses of upregulated proteins were performed to determine potential cell origins and enriched biological processes. Results: The levels of 142 proteins were significantly increased in the plasma of NSCLC patients following ICI-based treatments. Soluble PD-1 exhibited the highest increase, with a positive correlation to tumor PD-L1 status, and, in the ICI monotherapy dataset, an association with improved overall survival. Bioinformatic analysis of the ICI monotherapy dataset revealed a set of 30 upregulated proteins that formed a single, highly interconnected network, including CD8A connected to ten other proteins, suggestive of T cell activation during ICI treatment. Notably, the T cell-related network was detected regardless of clinical benefit. Lastly, circulating proteins of alveolar origin were identified as potential biomarkers of limited clinical benefit, possibly due to a link with cellular stress and lung damage. Conclusions: Our study provides insights into the biological processes activated during ICI-based therapy, highlighting the potential of plasma proteomics to identify mechanisms of therapy resistance and biomarkers for outcome.

[NOVEL TECHNOLOGIES AND FUTURE TRENDS IN TRANSLATIONAL RESEARCH IN ONCOLOGY].

INTRODUCTION: Translational research in medicine has undergone significant changes in the last decade, primarily due to the remarkable technological advancements made during this period. Oncology research is at the forefront of translational research in medicine and is heavily influenced by these changes. In this article, we briefly review the technologies that form the basis for the "next generation of translational research" in oncology in the coming decades, as well as the emerging trends in translational research in oncology through the implementation of these technologies.

Sodium-glucose co-transporter-2 inhibitors in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the prognosis of cancer. Diabetes mellitus (DM) has been shown to have a negative effect on patients treated with ICIs. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are effective antidiabetic therapies associated with reduced all-cause mortality and cardiovascular (CV) outcomes. OBJECTIVE: To evaluate the prognostic value of SGLT2i on all-cause mortality and cardiotoxicity among patients treated with ICIs. METHODS: We performed a retrospective analysis of patients diagnosed with cancer and type 2 DM (DM2) and treated with ICIs at our center. Patients were divided into two groups according to baseline treatment with or without SGLT2i. The primary endpoint was all-cause mortality and the secondary endpoint was MACE, including myocarditis, acute coronary syndrome, heart failure, and arrhythmia. RESULTS: The cohort included 119 patients, with 24 (20%) patients assigned to the SGLT2i group. Both groups exhibited a comparable prevalence of cardiac risk factors, although the SGLT2i group displayed a higher incidence of ischemic heart disease. Over a median follow-up of 28 months, 61 (51%) patients died, with a significantly lower all-cause mortality rate in the SGLT2i group (21% vs. 59%, p = 0.002). While there were no significant differences in MACE, we observed zero cases of myocarditis and atrial fibrillation in the SGLT2i, compared to 2 and 6 cases in the non-SGLT2i group. CONCLUSIONS: SGLT2i therapy was associated with a lower all-cause mortality rate in patients diagnosed with cancer and DM2 and treated with ICIs. Further studies are needed to understand the mechanism and evaluate its benefit on cardiotoxicity.

Revealing the tumor suppressive sequence within KL1 domain of the hormone Klotho.

Klotho, a 1012 amino acid transmembrane protein, is a potent tumor suppressor in different cancer types. Klotho is composed of two internal repeats KL1 and KL2, and the tumor suppressor activity is primarily attributed to the KL1 domain. Despite its significant role in regulating various cancer-related pathways, the precise mechanism underlying its tumor suppressor activity remains unresolved. In this study, we aimed to identify the sequence responsible for the tumor suppressor function of Klotho and gain insights into its mechanism of action. To accomplish this, we generated expression vectors of truncated KL1 at the C and N-terminal regions and evaluated their ability to inhibit the colony formation of several cancer cell lines. Our findings demonstrated that truncated KL1 1-340 (KL340) effectively inhibited colony formation similar to KL1, while truncated KL1 1-320 (KL320) lost this activity. Furthermore, this correlated with the inhibitory effect of KL1 and KL340 on the Wnt/ß-catenin pathway, whereas KL320 had no effect. Transcriptomic analysis of MCF-7 cells expressing the constructs revealed enriched pathways associated with tumor suppressor activity in KL1 and KL340. Interestingly, the α-fold predictor tool highlighted distinct differences in the α and ß sheets of the TIM barrel fold of the truncated Klotho constructs, adding to our understanding of their structural variations. In summary, this study identified the 340 N-terminal amino acids as the sequence that possesses Klotho's tumor suppressor activity and reveals a critical role in the 320-340 sequence for this function. It also provides a foundation for the development of Klotho-based therapeutic approaches for cancer treatment.

The prognostic value of beta-1 blockers in patients with non-small-cell lung carcinoma treated with pembrolizumab.

BACKGROUND: Immune checkpoint inhibitors (ICIs) such as pembrolizumab have revolutionized the treatment of metastatic non-small cell lung cancer (mNSCLC). Beta-adrenergic activation contributes to cancer initiation and progression. While non-selective beta-blocker were found to improve the efficacy of ICIs therapy, the role of beta-1 (ß1)-selective -blocker (ß1B) in lung cancer patients is unknown. OBJECTIVE: To evaluate the effect of ß1B on overall survival (OS) and progression-free survival (PFS) in patients diagnosed with mNSCLC and treated with pembrolizumab. METHODS: We performed a retrospective analysis of patients diagnosed with mNSCLC and treated with first-line pembrolizumab at our center. RESULTS: Of 200 eligible patients, 53 (27%) were pretreated with ß1B. Patients in the ß1B cohort were older (73 ± 8 vs. 67 ± 10 years, p < 0.001) with a higher prevalence of cardiac risk factors and cardiovascular (CV) diseases including ischemic heart disease (32% vs. 16%, p = 0.010), heart failure (9% vs. 3%, p = 0.043) and atrial fibrillation (23% vs. 3%, p < 0.001). Compared to the non-ß1B group, patient pretreated with ß1B had a significant shorter median OS (12 vs. 24 months, p = 0.004) and PFS (6 vs. 8 months, p < 0.001). In a multivariate analysis, including all CV risk factors and diseases, the use of baseline ß1B was a strong and independent predictor for accelerated disease progression (HR 1.92, 95%CI 1.32-2.79, p < 0.001) and shorter OS (HR 1.8, 95%, CI 1.18-2.75, p = 0.007). CONCLUSIONS: The use of baseline ß1B showed a strong and independent association for shorter OS and PFS in patients diagnosed with mNSCLC and treated with pembrolizumab.

Effectiveness and safety of standard chemotherapy in older patients with ovarian cancer: a retrospective analysis by age group and treatment regimen.

Objective: To evaluate the effectiveness and safety of standard chemotherapy administered to patients >70 years with advanced ovarian cancer (OC). Methods: Medical records of 956 advanced-stage patients with OC treated between 2002-2020 with standard surgery and paclitaxel-carboplatin chemotherapy in a three-weekly (PC-3W) or weekly (PC-1W) regimen were reviewed. Treatment response and tolerability were compared between patients ≤70 years (N=723) and >70 years (N=233) with stratification to septuagenarians (>70-80 years) and octogenarians (>80 years). Results: Median overall survival (mOS) in patients >70 was 41.26 months (95% confidence interval [Cl], 37.22-45.14) and median progression-free survival (mPFS) was 11.04 months (95% Cl, 8.97-15.74). No statistically significant differences in mPFS and mOS were observed between septuagenarians and octogenarians. Patients >70 treated with PC-1W versus PC-3W had significantly longer mOS (57.17 versus 30.00 months) and mPFS (19.09 versus 8.15 months). Toxicity rates were mostly similar between younger and older patients. Among patients >70 treated with PC-1W, the rate of neutropenia (75.7% versus 51.8%, p=0.0005), thrombocytopenia (41.0% versus 22.2%, p=0.0042) and anemia (78.1% versus 51.9%, p<0.0001) were significantly higher and the rate of grade 2 alopecia was statistically significantly lower compared with those >70 treated with PC-3W. Significantly more patients treated with PC-1W completed ≥6 chemotherapy cycles, suggesting better tolerability of this regimen. Conclusions: Older patients with OC may benefit from improved OS with reasonable toxicity if treated with standard chemotherapy. Older patients treated with PC-1W are more likely to complete the full chemotherapy course and survive longer compared with those treated with conventional PC-3W.

Dysglycemia in non-functioning pancreatic neuroendocrine tumors (NF-PNET): Further insights into an under recognized entity.

Objective: Pancreatic neuroendocrine tumors (PNETs) are rare, but their incidence has risen significantly in recent years. Whereas diabetes mellitus (DM) is recognized in association with chronic pancreatitis and pancreatic cancer, it has not been well-characterized concerning non-functioning (NF)-PNETs.Study aim: to determine whether NF-PNETs are associated with DM/ Pre-DM and characterize the features of this putative association. Methods: Retrospective study to evaluate rate of Pre-DM /DM in subjects with NF-PNETs. Results: Study cohort of 129 patients with histologically confirmed NF-PNETs, ∼60% were men (M/F: 77/52). Abnormal glucose metabolism that preceded any treatment was seen in 70% of this cohort: overt DM in 34% and Pre-DM in 36% of the subjects. However, during follow-up, the overall prevalence rose to 80.6%, owing exclusively to newly diagnosed DM in subjects who received treatment.Patients with DM/Pre-DM were older (65 ± 11; 54 ± 14; p < 0.0001), the tumor was more commonly localized in the pancreatic body and tail (76.5% vs. 23.5% p = 0.03), while BMI (27 ± 6 vs. 28 ± 5 kg/m2), and tumor size (2.4 ± 2 vs. 2.9 ± 3.2 cm) were similar. The relative prevalence of DM in our cohort of NF-PNETs was 1.6 higher than that in the age and gender-adjusted general Israeli population (95 %CI: 1.197-2.212p = 0.03). Conclusions: We found a high rate of impaired glucose metabolism, either DM or Pre-DM, in a large cohort of NF-PNETs. The high prevalence of diabetes/pre-diabetes was unrelated to obesity or tumor size. This observation should increase awareness of the presence of DM on presentation or during treatment of "NF"-PNETs.

Modified Citrus Pectin Treatment in Non-Metastatic Biochemically Relapsed Prostate Cancer: Long-Term Results of a Prospective Phase II Study.

The optimal therapy for patients with non-metastatic biochemically relapsed prostate cancer (BRPC-M0) after local therapy is elusive. Thus, the evaluation of new non-toxic compounds in BRPC-M0 patients is warranted. PectaSol®-Modified citrus pectin (P-MCP) is a food supplement categorized as GRAS (Generally Recognized As Safe) by the FDA. It is a competitive inhibitor of the galectin-3 protein, which is involved in cancer pathogenesis. In an early report of the present phase 2 study, P-MCP treatment for 6 months led to prostate-specific antigen doubling time (PSADT) improvement in 75% of patients with BRPC-M0. Herein, we report the second long-term treatment phase of an additional 12 months of P-MCP therapy (4.8 g × 3/day orally) in patients without disease progression after the initial 6 months of therapy. Of the 46 patients that entered the second treatment phase, 7 patients withdrew consent and decided to continue therapy out of pocket, and 39 initiated the second treatment phase. After a total of 18 months of P-MCP treatment, 85% (n = 33) had a durable long-term response, with 62% (n = 24) showing decreased/stable PSA, 90% (n = 35) PSADT improvement, and all with negative scans. No patient had grade 3/4 toxicity. In conclusion, P-MCP may have long-term durable efficacy and is safe in BRPC-M0.

Collaborative privacy-preserving analysis of oncological data using multiparty homomorphic encryption.

Real-world healthcare data sharing is instrumental in constructing broader-based and larger clinical datasets that may improve clinical decision-making research and outcomes. Stakeholders are frequently reluctant to share their data without guaranteed patient privacy, proper protection of their datasets, and control over the usage of their data. Fully homomorphic encryption (FHE) is a cryptographic capability that can address these issues by enabling computation on encrypted data without intermediate decryptions, so the analytics results are obtained without revealing the raw data. This work presents a toolset for collaborative privacy-preserving analysis of oncological data using multiparty FHE. Our toolset supports survival analysis, logistic regression training, and several common descriptive statistics. We demonstrate using oncological datasets that the toolset achieves high accuracy and practical performance, which scales well to larger datasets. As part of this work, we propose a cryptographic protocol for interactive bootstrapping in multiparty FHE, which is of independent interest. The toolset we develop is general-purpose and can be applied to other collaborative medical and healthcare application domains.

Artificial intelligence (AI) molecular analysis tool assists in rapid treatment decision in lung cancer: a case report.

Leptomeningeal involvement among non-small cell lung cancer (NSCLC) patients is an aggressive form of disease that requires quick and efficient treatment. In this case report, we describe a woman in her 40s with a presenting symptom of headache that ultimately was diagnosed as leptomeningeal spread from NSCLC adenocarcinoma. We identified EGFR mutation in less than 48 hours from the biopsy using imagene-artificial intelligence's real-time algorithmic solution on the pathological diagnostic slide.

Place of Death for Israeli Cancer Patients Over a 20-Year Period: Reducing Hospital Deaths, but Barriers Remain.

BACKGROUND: Cancer remains a leading cause of mortality worldwide. While the main focus of palliative care (PC) is quality of life, the elements that comprise the quality of death are often overlooked. Dying at home, with home-hospice-care (HHC) support, rather than in-hospital, may increase patient satisfaction and decrease the use of invasive measures. We examined clinical and demographic characteristics associated with out-of-hospital death among patients with cancer, which serves as a proxy measure for HHC deaths. METHODS: Using death certification data from the Israel Central Bureau of Statistics, we analyzed 209,158 cancer deaths between 1998 and 2018 in Israel including demographic information, cause of death, and place of death (POD). A multiple logistic regression model was constructed to identify factors associated with out-of-hospital cancer deaths. RESULTS: Between 1998 and 2018, 69.1% of cancer deaths occurred in-hospital, and 30.8% out-of-hospital. Out-of-hospital deaths increased by 1% annually during the study period. Older patients and those dying of solid malignancies were more likely to die out-of-hospital (OR = 2.65, OR = 1.93, respectively). Likelihood of dying out-of-hospital varied with area of residency; patients living in the Southern district were more likely than those in the Jerusalem district to die out-of-hospital (OR = 2.37). CONCLUSION: The proportion of cancer deaths occurring out-of-hospital increased during the study period. We identified clinical and demographic factors associated with POD. Differences between geographical areas probably stem from disparity in the distribution of PC services and highlight the need for increasing access to primary EOL care. However, differences in age and tumor type probably reflect cultural changes and suggest focusing on educating patients, families, and physicians on the benefits of PC.

Association between diabetes mellitus and reduced efficacy of pembrolizumab in non-small cell lung cancer.

BACKGROUND: Diabetes mellitus (DM) is a highly prevalent chronic metabolic disorder. Although DM has been associated with immune dysfunction, the effect of DM on the efficacy of immunotherapy is unknown. This study aimed to evaluate the impact of DM on the efficacy of pembrolizumab in metastatic non-small cell lung cancer (NSCLC). METHODS: The authors reviewed the medical records of consecutive metastatic NSCLC patients treated with first-line pembrolizumab either alone or in combination with chemotherapy at a single tertiary center. For validation, a computerized data from Maccabi Healthcare Services, a 2.5-million-member state health service was used. RESULTS: Of the 203 eligible patients, 51 (25%) had DM. Patients with DM had a significantly shorter median progression-free survival (PFS) (5.9 vs. 7.1 months, p = .004) and overall survival (OS) (12 vs. 21 months, p = .006). The shorter OS in diabetic patients was more pronounced when pembrolizumab was given alone (12 vs. 27 months, p = .03) than when combined with chemotherapy (14.3 vs. 19.4 months, p = .06). Multivariate analysis confirmed DM as an independent risk factor for shorter PFS (hazard ratio [HR], 1.67; 95% confidence interval [CI], 1.11-2.50, p = .01) and OS (HR, 1.73; 95% CI, 1.09-2.76, p = .02). In a validation cohort of 452 metastatic NSCLC patients, the time on pembrolizumab treatment was shorter in diabetic patients (p = .025), with only 19.6% of patients remaining on treatment at 12 months compared to 31.7% of the nondiabetic patients. CONCLUSIONS: This study suggests immunotherapy is less beneficial in diabetic NSCLC patients. More work is needed to verify our findings and explore similar effects in other cancer entities.

Adjuvant FOLFIRINOX in Patients with Resectable Pancreatic Cancer Is Effective but Rarely Feasible in Real Life: Is Neoadjuvant FOLFIRINOX a Better Option?

BACKGROUND: The recommended treatment for resectable pancreatic cancer (PC) is resection followed by adjuvant FOLFIRINOX. We assessed the proportion of patients that managed to complete the 12 courses of adjuvant FOLFIRINOX and compared their outcome with that of patients with borderline resectable pancreatic cancer (BRPC) who underwent resection after neoadjuvant FOLFIRINOX. METHODS: A retrospective analysis was performed on a prospectively maintained database of all PC patients who underwent resection with (2/2015-12/2021) or without (1/2018-12/2021) neoadjuvant therapy. RESULTS: A total of 100 patients underwent upfront resection, and 51 patients with BRPC received neoadjuvant treatment. Only 46 resection patients started adjuvant FOLFIRINOX, and only 23 completed 12 courses. The main reasons for not starting/completing adjuvant therapy were poor tolerance and rapid recurrence. Significantly more patients in the neoadjuvant group received at least six FOLFIRINOX courses (80.4% vs. 31%, p < 0.001). Patients who completed at least 6 courses, either pre- or postoperatively, had better overall survival (p = 0.025) than those who did not. In spite of having more advanced disease, the neoadjuvant group had comparable overall survival (p = 0.062) regardless of the number of treatment courses. CONCLUSION: Only a minority of patients (23%) undergoing upfront pancreatic resection completed the planned 12 courses of FOLFIRINOX. Patients who received neoadjuvant treatment were significantly more likely to receive at least six treatment courses. Patients receiving at least six courses had better overall survival than those who received fewer than six courses, regardless of the timing of treatment relative to surgery. Potential ways to increase chemotherapy adherence, such as administering treatment before surgery, should be considered.

Early Infiltration of Innate Immune Cells to the Liver Depletes HNF4α and Promotes Extrahepatic Carcinogenesis.

Multiple studies have identified metabolic changes within the tumor and its microenvironment during carcinogenesis. Yet, the mechanisms by which tumors affect the host metabolism are unclear. We find that systemic inflammation induced by cancer leads to liver infiltration of myeloid cells at early extrahepatic carcinogenesis. The infiltrating immune cells via IL6-pSTAT3 immune-hepatocyte cross-talk cause the depletion of a master metabolic regulator, HNF4α, consequently leading to systemic metabolic changes that promote breast and pancreatic cancer proliferation and a worse outcome. Preserving HNF4α levels maintains liver metabolism and restricts carcinogenesis. Standard liver biochemical tests can identify early metabolic changes and predict patients' outcomes and weight loss. Thus, the tumor induces early metabolic changes in its macroenvironment with diagnostic and potentially therapeutic implications for the host. SIGNIFICANCE: Cancer growth requires a permanent nutrient supply starting from early disease stages. We find that the tumor extends its effect to the host's liver to obtain nutrients and rewires the systemic and tissue-specific metabolism early during carcinogenesis. Preserving liver metabolism restricts tumor growth and improves cancer outcomes. This article is highlighted in the In This Issue feature, p. 1501.

A Lymph Node Ratio Model for Prognosis of Patients with Pancreatic Neuroendocrine Tumors.

The objective of this study was to determine the prognostic value of lymph node (LN) involvement and the LN ratio (LNR) and their effect on recurrence rates and survival in patients with pancreatic neuroendocrine tumors (PNETs) undergoing surgery. This single-center retrospective study reviewed the medical records of 95 consecutive patients diagnosed with PNETs who underwent surgery at our medical center between 1997 and 2017. The retrieved information included patient demographics, pathology reports, treatments, and oncological outcomes. Results: 95 consecutive potentially suitable patients were identified. The 78 patients with PNETs who underwent surgery and for whom there was adequate data were included in the analysis. Their mean ± standard deviation age at diagnosis was 57.4 ± 13.4 years (range 20-82), and there were 50 males (64%) and 28 females (36%). 23 patients (30%) had LN metastases (N1). The 2.5- and 5-year disease-free survival (DFS) rates for the entire cohort were 79.5% and 71.8%, respectively, and their 2- and 5-year overall survival (OS) rates were 85.9% and 82.1%, respectively. The optimal value of the LNR was 0.1603, which correlated with the outcome (2-year OS p = 0.002 HR = 13.4 and 5-year DFS p = 0.016 HR = 7.2, respectively, and 5-year OS and 5-year DFS p = 0.004 HR = 9 and p = 0.001 HR = 10.6, respectively). However, the multivariate analysis failed to show that the LNR was an independent prognostic factor in PNETs. Patients with PNETs grade and stage are known key prognostic factors influencing OS and DFS. According to our results, LNR failed to be an independent prognostic factor.

Data From a One-Stop-Shop Comprehensive Cancer Screening Center.

PURPOSE: Cancer is the second leading cause of death globally. However, by implementing evidence-based prevention strategies, 30%-50% of cancers can be detected early with improved outcomes. At the integrated cancer prevention center (ICPC), we aimed to increase early detection by screening for multiple cancers during one visit. METHODS: Self-referred asymptomatic individuals, age 20-80 years, were included prospectively. Clinical, laboratory, and epidemiological data were obtained by multiple specialists, and further testing was obtained based on symptoms, family history, individual risk factors, and abnormalities identified during the visit. Follow-up recommendations and diagnoses were given as appropriate. RESULTS: Between January 1, 2006, and December 31, 2019, 8,618 men and 8,486 women, average age 47.11 ± 11.71 years, were screened. Of 259 cancers detected through the ICPC, 49 (19.8%) were stage 0, 113 (45.6%) stage I, 30 (12.1%) stage II, 25 (10.1%) stage III, and 31(12.5%) stage IV. Seventeen cancers were missed, six of which were within the scope of the ICPC. Compared with the Israeli registry, at the ICPC, less cancers were diagnosed at a metastatic stage for breast (none v 3.7%), lung (6.7% v 11.4%), colon (20.0% v 46.2%), prostate (5.6% v 10.5%), and cervical/uterine (none v 8.5%) cancers. When compared with the average stage of detection in the United States, detection was earlier for breast, lung, prostate, and female reproductive cancers. Patient satisfaction rate was 8.35 ± 1.85 (scale 1-10). CONCLUSION: We present a proof of concept study for a one-stop-shop approach to cancer screening in a multidisciplinary outpatient clinic. We successfully detected cancers at an early stage, which has the potential to reduce morbidity and mortality as well as offer substantial cost savings.[Media: see text].

The predictive value of high sensitivity troponin measurements in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of cancer; however, at the potential cost of serious adverse events including cardiac injury. OBJECTIVE: To assess the baseline and longitudinal changes in high sensitivity-Troponin (hs-Tn) in patients treated with pembrolizumab as a potential predictor for the development of major adverse cardiac events (MACE) and survival. METHODS: We performed a retrospective analysis of cancer patients treated with pembrolizumab at our center. All participants had baseline measurements of hs-TnI prior to initiation of pembrolizumab (T1), with half of the patients performing follow-up measurements at their second encounter for therapy introduction (T2). We first evaluated the prevalence of abnormally elevated serum hs-TnI (> 50 nanogram per liter) at T1 and T2. We then evaluated the predictive value of abnormal levels at T1 or T2 in relation to the development of MACE (composite outcomes of myocarditis, acute coronary syndrome, heart failure, venous thromboembolism, cardiovascular hospitalization and cardiovascular mortality) and all-cause mortality. RESULTS: Among 135 patients, the mean age was 72 years, predominantly male (61%). Abnormally elevated hs-TnI at T1 was observed in 7 (5%) patients and emerged as a significant independent predictor for MACE (HR 8.1, 95% CI 1.67-37.4, p = 0.009) and all-cause mortality (HR 5.37, 95% CI 2.1-13.57, p < 0.001). Abnormally elevated hs-TnI at T2 was observed in 8 (11%) patients and emerged as a significant independent predictor for MACE (HR 10.49, 95% CI 1.68-65.5, p = 0.009), but not for mortality (p = 0.200). CONCLUSIONS: Abnormally elevated baseline and follow-up hs-TnI served as significant independent predictors for MACE, with an increased risk of development being 8-tenfold. Furthermore, elevated baseline hs-TnI showed a predictive value for all-cause mortality. Central illustration: Novel immune checkpoint inhibitor (ICIs) therapy has been found to revolutionize cancer therapy through increased activation of host immune systems to target and reduce tumor burden, but may come at the cost of serious adverse cardiac events. Identification of early biomarkers for the prediction and detection of these events is necessary.

The use of medical cannabis concomitantly with immune checkpoint inhibitors in non-small cell lung cancer: A sigh of relief?

BACKGROUND: The use of medical cannabis has rapidly increased among cancer patients worldwide. Cannabis is often administered concomitantly with cancer medications, including immune checkpoint inhibitors (ICIs). As the cannabinoid receptors are abundantly expressed and modulate immune cells, it has been hypothesised that cannabis may attenuate the activity of ICIs. We aimed to assess the effect of cannabis on ICIs' efficiency in patients having non-small cell lung cancer (NSCLC). METHOD: The murine model of CT26 tumour-bearing mice treated with an anti-PD-1 antibody and Δ9-tetrahydrocannabinol (THC) was used to evaluate the interaction between THC and ICIs in vivo. Correlation between use of medical cannabis and clinical outcome was evaluated in a cohort of 201 consecutive metastatic NSCLC patients treated with monotherapy pembrolizumab as a first-line treatment. RESULTS: Median overall survival (OS) of the mice receiving a control vehicle, THC, anti-PD-1 antibody or their combination was 21, 24, 31 and 54 days, respectively (p < 0.05 for the combination treatment compared to a control vehicle), indicating that THC did not reduce the efficacy of anti-PD-1 therapy. Of 201 NSCLC patients treated with first-line monotherapy pembrolizumab for metastatic disease, 102 (50.7%) patients received licence for cannabis within the first month of treatment. Cannabis-treated patients were younger compared to the cannabis naïve patients (median age 68 versus 74, p = 0.003), with female predominance (62, 60.8% versus 34, 34.3%, p = 0.002) and with more prevailing brain metastasis (15.7% versus 5%, p = 0.013). Similar distribution of histology, smoking status, ECOG (Eastern Cooperative Oncology Group) and programmed death-ligand 1 expression was noted between the groups. Liver metastases were marginally significant (19.6% versus 10.1%, p = 0.058). The most common indication for cannabis was pain (71%) followed by loss of appetite (34.3%). Time to tumour progression was similar for cannabis-naive and cannabis-treated patients (6.1 versus 5.6 months, respectively, 95% confidence interval, 0.82 to 1.38, p = 0.386), while OS was numerically higher in the cannabis-naive group (54.9 versus 23.6 months) but did not reach statistical significance (95% confidence interval 0.99 to 2.51, p = 0.08). In multivariate analyses, we did not identify cannabis use as an independent predictor factor for mortality. CONCLUSIONS: Preclinical and clinical data suggest no deleterious effect of cannabis on the activity of pembrolizumab as first-line monotherapy for advanced NSCLC. The differences in OS can most likely be attributed to higher disease burden and more symptomatic disease in the cannabis-treated group. These data provide reassurance regarding the absence of a deleterious effect of cannabis in this clinical setting.