Clinical trials, whether industry, cooperative group sponsored, or investigator initiated, have an unacceptable rate of failure as a result of the inability to recruit sufficient numbers of patients. ...Even those trials that are completed often require time-consuming protocol amendments to achieve accrual goals. These inefficiencies in clinical trial research result in increasing costs and prolong the time needed to bring improved treatments to cancer clinical practice. TriNetX has developed a clinical research collaboration platform-deployed by a federated network of health care organizations (HCOs), pharmaceutical firms (Pharma), and contract research organizations (CROs)-to enable data-driven clinical research study design to reduce accrual failure and protocol amendment. Currently, the network extends to 55 HCOs and covers 84 million patients, mostly within the United States, but with a growing international presence. (Many of the HCOs in United States are Clinical and Translational Science Awardees and/or National Cancer Institute-designated cancer centers.) The TriNetX business model includes Pharma and the CROs as sponsors whose subscriptions financially support the network, including the software and hardware costs of the HCOs. Furthermore, as each HCO network member has their data harmonized with the TriNetX model upon joining, data sharing among them does not require any technical processes to establish connectivity. To date, on the basis of the data on the network, HCOs have been presented approximately 757 studies by Pharma and CROs, and four data-sharing subnetworks have been formed among member HCOs.
Summary Background Pancreatic cancer statistics are dismal, with a 5-year survival of less than 10%, and more than 50% of patients presenting with metastatic disease. Metabolic reprogramming is an ...emerging hallmark of pancreatic adenocarcinoma. CPI-613 is a novel anticancer agent that selectively targets the altered form of mitochondrial energy metabolism in tumour cells, causing changes in mitochondrial enzyme activities and redox status that lead to apoptosis, necrosis, and autophagy of tumour cells. We aimed to establish the maximum tolerated dose of CPI-613 when used in combination with modified FOLFIRINOX chemotherapy (comprising oxaliplatin, leucovorin, irinotecan, and fluorouracil) in patients with metastatic pancreatic cancer. Methods In this single-centre, open-label, dose-escalation phase 1 trial, we recruited adult patients (aged ≥18 years) with newly diagnosed metastatic pancreatic adenocarcinoma from the Comprehensive Cancer Center of Wake Forest Baptist Medical Center (Winston-Salem, NC, USA). Patients had good bone marrow, liver and kidney function, and good performance status (Eastern Cooperative Oncology Group ECOG performance status 0–1). We studied CPI-613 in combination with modified FOLFIRINOX (oxaliplatin at 65 mg/m2 , leucovorin at 400 mg/m2 , irinotecan at 140 mg/m2 , and fluorouracil 400 mg/m2 bolus followed by 2400 mg/m2 over 46 h). We applied a two-stage dose-escalation scheme (single patient and traditional 3+3 design). In the single-patient stage, one patient was accrued per dose level. The starting dose of CPI-613 was 500 mg/m2 per day; the dose level was then escalated by doubling the previous dose if there were no adverse events worse than grade 2 within 4 weeks attributed as probably or definitely related to CPI-613. The traditional 3+3 dose-escalation stage was triggered if toxic effects attributed as probably or definitely related to CPI-613 were grade 2 or worse. The dose level for CPI-613 for the first cohort in the traditional dose-escalation stage was the same as that used in the last cohort of the single-patient dose-escalation stage. The primary objective was to establish the maximum tolerated dose of CPI-613 (as assessed by dose-limiting toxicities). This trial is registered with ClinicalTrials.gov , number NCT01835041 , and is closed to recruitment. Findings Between April 22, 2013, and Jan 8, 2016, we enrolled 20 patients. The maximum tolerated dose of CPI-613 was 500 mg/m2 . The median number of treatment cycles given at the maximum tolerated dose was 11 (IQR 4–19). Median follow-up of the 18 patients treated at the maximum tolerated dose was 378 days (IQR 250–602). Two patients enrolled at a higher dose of 1000 mg/m2 , and both had a dose-limiting toxicity. Two unexpected serious adverse events occurred, both for the first patient enrolled. Expected serious adverse events were: thrombocytopenia, anaemia, and lymphopenia (all for patient number 2; anaemia and lymphopenia were dose-limiting toxicities); hyperglycaemia (in patient number 7); hypokalaemia, hypoalbuminaemia, and sepsis (patient number 11); and neutropenia (patient number 20). No deaths due to adverse events were reported. For the 18 patients given the maximum tolerated dose, the most common grade 3–4 non-haematological adverse events were hyperglycaemia (ten 55% patients), hypokalaemia (six 33%), peripheral sensory neuropathy (five 28%), diarrhoea (five 28%), and abdominal pain (four 22%). The most common grade 3–4 haematological adverse events were neutropenia (five 28% of 18 patients), lymphopenia (five 28%), anaemia (four 22%, and thrombocytopenia in three 17%). Sensory neuropathy (all grade 1–3) was recorded in 17 (94%) of the 18 patients and was managed with dose de-escalation or discontinuation per standard of care. No patients died while on active treatment; 11 study participants died, with cause of death as terminal pancreatic cancer. Of the 18 patients given the maximum tolerated dose, 11 (61%) achieved an objective (complete or partial) response. Interpretation A maximum tolerated dose of CPI-613 was established at 500 mg/m2 when used in combination with modified FOLFIRINOX in patients with metastatic pancreatic cancer. The findings of clinical activity will require validation in a phase 2 trial. Funding Comprehensive Cancer Center of Wake Forest Baptist Medical Center.
Background
Immune checkpoint inhibitors (ICIs) are a promising class of anticancer drugs associated with immune-related adverse events (IRAEs). In registration studies of selected cancer populations, ...neurologic IRAEs were rare. Post-marketing experience describing their prevalence in clinical practice continues to be reported.
Methods
A retrospective cohort of patients treated at our institution with ICIs from 2005 to 2017 was identified. Patients with new neurologic ICD codes documented during or after ICI treatment were enrolled. Comprehensive medical record review identified patients with neurologic IRAEs causally linked to ICIs. This study focused on CTCAE grade 2–4 IRAEs.
Results
526 patients were screened; 55 candidate patients were identified; 5 cases met criteria for neurologic IRAEs, an incidence of 0.95% (
n
= 5/526). IRAEs identified were transverse myelopathy, demyelinating sensorimotor polyneuropathy, oculomotor nerve palsy, sensory neuropathy, and posterior reversible encephalopathy syndrome. ICIs were held in three patients, rechallenged in one, and dose-reduced in one. Corticosteroids were given in three patients, and response varied from complete symptom resolution to minimal response and ultimately death. Other treatments were based on IRAE presentation, including gabapentin, antihypertensives, and IV immunoglobulin. Patients with combination therapy appeared to suffer more severe IRAEs producing more substantial long-term morbidity and mortality.
Conclusion
In this clinical practice study, the incidence of neurologic IRAEs from ICIs was 0.95%. Although rare, neurologic IRAEs can be highly variable and severe, and patients with combination immunotherapy appeared to suffer more severe IRAEs. Neurologists play an important role in the early identification and management of IRAEs to reduce long-term morbidity and mortality.
Background
The purpose of this study was to explore the genomic landscape of head and neck squamous cell carcinoma (HNSCC) in circulation (circulating tumor DNA ctDNA) and tumor (tumor tissue DNA ...tDNA) and understand the implications of ctDNA sequencing for prognosis and precision oncology treatments.
Materials and Methods
This is a retrospective review of 75 patients with HNSCC for both tDNA and ctDNA. Results were analyzed for concordance between tDNA and ctDNA and for their individual and combined association with demographics, survival, and presence and extent of disease at last visit (DLV).
Results
The five most frequently altered genes were TP53, CDKN2A, TERT, BRCA2, and NOTCH1. Twenty percent of patients had NOTCH1 alterations in tDNA, with none found in ctDNA. Concordance among altered genes was 13.0%, and 65.3% of patients had actionable ctDNA alterations. ctDNA alterations were significantly associated with decreased overall survival (OS) and presence and extent of DLV. In DNA repair genes, alterations in ctDNA alone and combined with tDNA were significantly associated with decreased OS and presence of DLV. Similar significant associations were found in TP53 for ctDNA alone and combined with tDNA. DNA repair gene alterations in ctDNA and unique ctDNA alterations within partially concordant genes were significantly associated with decreased OS in multivariate analysis.
Conclusion
This study illustrates the circulating and tumor genomic profile in the largest HNSCC cohort to date, underscoring the potential utility of ctDNA in prognostication and precision oncology treatment. For the first time, the presence of ctDNA alterations and specific ctDNA sequencing results were shown to be significantly associated with poor prognosis in HNSCC.
Implications for Practice
The use of precision genomic targeted therapies in head and neck squamous cell carcinoma (HNSCC) lags behind many other cancers, and poor survival in advanced stages indicates the urgent need for improved treatment options. This exploratory analysis of circulating tumor DNA (ctDNA) and tumor tissue DNA (tDNA) sequencing in the largest cohort to date of patients with HNSCC provides a novel depiction of the ctDNA genome, with two thirds of patients having actionable ctDNA alterations. This study reports for the first time the prognostic value of ctDNA sequencing, with the presence of ctDNA alterations, specific ctDNA alterations in DNA repair genes and TP53, and unique ctDNA alterations within partially concordant genes predicting poor survival.
This article reports on the genomic landscape of circulating tumor DNA in head and neck squamous cell carcinoma and analyzes its prognostic significance and potential contribution to precision oncology treatment strategies alone and in combination with tumor DNA analysis.
Artificial Intelligence and its subdomain, Machine Learning (ML), have shown the potential to make an unprecedented impact in healthcare. Federated Learning (FL) has been introduced to alleviate some ...of the limitations of ML, particularly the capability to train on larger datasets for improved performance, which is usually cumbersome for an inter-institutional collaboration due to existing patient protection laws and regulations. Moreover, FL may also play a crucial role in circumventing ML's exigent bias problem by accessing underrepresented groups' data spanning geographically distributed locations. In this paper, we have discussed three FL challenges, namely: privacy of the model exchange, ethical perspectives, and legal considerations. Lastly, we have proposed a model that could aide in assessing data contributions of a FL implementation. In light of the expediency and adaptability of using the Sørensen-Dice Coefficient over the more limited (e.g., horizontal FL) and computationally expensive Shapley Values, we sought to demonstrate a new paradigm that we hope, will become invaluable for sharing any profit and responsibilities that may accompany a FL endeavor.
Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward ...an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming underlying this process are poorly understood. Therefore, we applied single cell RNA‐seq (scRNA‐seq) to computationally investigate the cellular composition and transcriptional dynamics of tumor and adjacent normal tissues from 4 early‐stage non‐small cell lung cancer (NSCLC) patients. Our scRNA‐seq analyses identified 11 485 cells that varied in identity and gene expression traits between normal and tumor tissues. Among these, myeloid cell populations exhibited the most diverse changes between tumor and normal tissues, consistent with tumor‐mediated reprogramming. Through trajectory analysis, we identified a differentiation path from CD14+ monocytes to M2 macrophages (monocyte‐to‐M2). This differentiation path was reproducible across patients, accompanied by increased expression of genes (eg, MRC1/CD206, MSR1/CD204, PPARG, TREM2) with significantly enriched functions (Oxidative phosphorylation and P53 pathway) and decreased expression of genes (eg, CXCL2, IL1B) with significantly enriched functions (TNF‐α signaling via NF‐κB and inflammatory response). Our analysis further identified a co‐regulatory network implicating upstream transcription factors (JUN, NFKBIA) in monocyte‐to‐M2 differentiation, and activated ligand‐receptor interactions (eg, SFTPA1‐TLR2, ICAM1‐ITGAM) suggesting intratumoral mechanisms whereby epithelial cells stimulate monocyte‐to‐M2 differentiation. Overall, our study identified the prevalent monocyte‐to‐M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand‐receptor interactions.
Single‐cell RNAseq reveals the transcriptional path from monocyte to M2 macrophage. M2 differentiation in NSCLC is driven by a multifaceted co‐regulatory network. Epithelial‐immune cell ligand‐receptor interactions associate with M2 differentiation
In this work, we study the survival outcomes of patients with lung adenocarcinoma in four independent cohorts. By classifying patients with KRAS mutations into three subgroups based on their mutation ...status of TP53 and SMARCA4, our analysis indicates that patients harboring both KRAS and SMARCA4 mutations do not benefit from the treatment with nonimmunotherapy or immune checkpoint inhibitor‐based immunotherapy. Alternative treatment strategy is requested for this subset of patients.
KRAS is a key oncogenic driver in lung adenocarcinoma (LUAD). Chromatin‐remodeling gene SMARCA4 is comutated with KRAS in LUAD; however, the impact of SMARCA4 mutations on clinical outcome has not been adequately established. This study sought to shed light on the clinical significance of SMARCA4 mutations in LUAD. The association of SMARCA4 mutations with survival outcomes was interrogated in four independent cohorts totaling 564 patients: KRAS‐mutant patients with LUAD who received nonimmunotherapy treatment from (a) The Cancer Genome Atlas (TCGA) and (b) the MSK‐IMPACT Clinical Sequencing (MSK‐CT) cohorts; and KRAS‐mutant patients with LUAD who received immune checkpoint inhibitor‐based immunotherapy treatment from (c) the MSK‐IMPACT (MSK‐IO) and (d) the Wake Forest Baptist Comprehensive Cancer Center (WFBCCC) immunotherapy cohorts. Of the patients receiving nonimmunotherapy treatment, in the TCGA cohort (n = 155), KRAS‐mutant patients harboring SMARCA4 mutations (KS) showed poorer clinical outcome P = 6e‐04 for disease‐free survival (DFS) and 0.031 for overall survival (OS), respectively, compared to KRAS‐TP53 comutant (KP) and KRAS‐only mutant (K) patients; in the MSK‐CT cohort (n = 314), KS patients also exhibited shorter OS than KP (P = 0.03) or K (P = 0.022) patients. Of patients receiving immunotherapy, KS patients consistently exhibited the shortest progression‐free survival (PFS; P = 0.0091) in the MSK‐IO (n = 77), and the shortest PFS (P = 0.0026) and OS (P = 0.0014) in the WFBCCC (n = 18) cohorts, respectively. Therefore, mutations of SMARCA4 represent a genetic factor leading to adverse clinical outcome in lung adenocarcinoma treated by either nonimmunotherapy or immunotherapy.
Mutations in polymerase ε (POLE) confer favorable prognosis and outcomes in various cancer types, but their role in non-small cell lung cancer (NSCLC) is unknown. Utilizing the data of 513 patients ...with adenocarcinoma (LUAD) and 497 patients with squamous cell carcinoma (LUSC) from The Cancer Genome Atlas (TCGA) cohort, we tested the prognostic value of POLE mutations and programmed cell death ligand 1 (PD-L1) expression in the two main subtypes of NSCLC. POLE mutation is a favorable biomarker for the improved overall survival (OS) of the LUSC patients (P = 0.033, 28 mutant vs. 469 wildtype patients), but not that of the LUAD patients (P = 0.12, 31 mutant vs. 482 wildtype patients). POLE-mutant LUAD patients with high expression of PD-L1 (Mut-High, n = 6) exhibited improved OS (P = 0.024) when compared to POLE-mutant patients with low PD-L1 expression (Mut-Low, n = 24) and other patients without POLE mutation (n = 476). This benefit was not due to the high content of the tumor infiltrating lymphocytes. Instead, the antitumor immune response was activated in Mut-High patients so that these patients were likely responding more effectively to immuno-oncology (IO) treatments; whereas genes involved with metabolic pathways were enriched in Mut-Low group, which may cause the decreased OS of these patients. Our study sheds light on the molecular basis of NSCLC and adds to our understanding of responses to chemotherapy and IO therapy.
The purpose of this study is to further validate the utility of our previously developed CNN in an alternative small animal model of BM through transfer learning. Unlike the glioma model, the BM ...mouse model develops multifocal intracranial metastases, including both contrast enhancing and non-enhancing lesions on DCE MRI, thus serving as an excellent brain tumor model to study tumor vascular permeability. Here, we conducted transfer learning by transferring the previously trained GBM CNN to DCE MRI datasets of BM mice. The CNN was re-trained to learn about the relationship between BM DCE images and target permeability maps extracted from the Extended Tofts Model (ETM). The transferred network was found to accurately predict BM permeability and presented with excellent spatial correlation with the target ETM PK maps. The CNN model was further tested in another cohort of BM mice treated with WBRT to assess vascular permeability changes induced via radiotherapy. The CNN detected significantly increased permeability parameter Ktrans in WBRT-treated tumors (
< 0.01), which was in good agreement with the target ETM PK maps. In conclusion, the proposed CNN can serve as an efficient and accurate tool for characterizing vascular permeability and treatment responses in small animal brain tumor models.
Failure to predict response to immunotherapy (IO) limited its benefit in the treatment of head and neck squamous cell cancer (HNSCC) to 20% of patients or less. Biomarkers including tumor mutational ...burden (TMB) and programmed death ligand-1 (PD-L1) were evaluated as predictors of response to IO, but the results are inconsistent and with a lack of standardization of their methods. In this retrospective study, TMB and PD-L1 were measured by commercially available methodologies and were correlated to demographics, outcome, and response to PD-1 inhibitors. No correlation was found between TMB and PD-L1 levels. High TMB was associated with smoking and laryngeal primaries. PD-L1 was significantly higher in African Americans, patients with earlier stage tumors, nonsmokers, and nonethanol drinkers. Patients with high TMB fared better in univariate and multivariate survival analysis. No correlation was found between PD-L1 expression and prognosis. There was a statistically significant association between PFS and response to IO and TMB. There was no association between response to ICI and PD-L1 in this study, possibly affected by variations in the reporting method. Further studies are needed to characterize the biomarkers for IO in HNSCC, and this study supports further research into the advancement of TMB in prospective studies.
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