Publications by authors named "Joseph W Franses"

Background: HCC is a highly vascular tumor, and many effective drug regimens target the tumor blood vessels. Prior bulk HCC subtyping data used bulk transcriptomes, which contained a mixture of parenchymal and stromal contributions.

Methods: We utilized computational deconvolution and cell-cell interaction analyses to cell type-specific (tumor-enriched and vessel-enriched) spatial transcriptomic data collected from 41 resected HCC tissue specimens.

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Targeted therapies are the mainstay of systemic therapies for patients with advanced, unresectable, or metastatic hepatocellular carcinoma. Several therapeutic targets, such as c-Met, TGF-β, and FGFR, have been evaluated in the past, though results from these clinical studies failed to show clinical benefit. However, these remain important targets for the future with novel targeted agents and strategies.

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Circulating Tumor Cells (CTCs), interrogated by sampling blood from patients with cancer, contain multiple analytes, including intact RNA, high molecular weight DNA, proteins, and metabolic markers. However, the clinical utility of tumor cell-based liquid biopsy has been limited since CTCs are very rare, and current technologies cannot process the blood volumes required to isolate a sufficient number of tumor cells for in-depth assays. We previously described a high-throughput microfluidic prototype utilizing high-flow channels and amplification of cell sorting forces through magnetic lenses.

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Purpose: Dysregulation of viral-like repeat RNAs are a common feature across many malignancies that are linked with immunological response, but the characterization of these in hepatocellular carcinoma (HCC) is understudied. In this study, we performed RNA hybridization (RNA-ISH) of different repeat RNAs, immunohistochemistry (IHC) for immune cell subpopulations, and spatial transcriptomics to understand the relationship of HCC repeat expression, immune response, and clinical outcomes.

Experimental Design: RNA-ISH for LINE1, HERV-K, HERV-H, and HSATII repeats and IHC for T-cell, Treg, B-cell, macrophage, and immune checkpoint markers were performed on 43 resected HCC specimens.

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Importance: Patient-reported outcomes (PROs), such as quality of life (QOL) and symptoms, are often associated with clinical outcomes in patients with cancer. In practice, oncologists use serum tumor markers (TMs) (ie, carcinoembryonic antigen [CEA] and carbohydrate antigen 19-9 [CA 19-9]) and imaging to monitor clinical outcomes in patients with gastrointestinal cancer.

Objective: To examine associations of 1-month changes in PROs and TMs with treatment response and survival among patients with gastrointestinal cancer.

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Article Synopsis
  • * The LINE-1 ORF1p protein is overexpressed in various cancers and has negligible expression in normal tissues, indicating its potential as a highly specific blood-based cancer biomarker.
  • * Advanced digital immunoassays can detect low levels of ORF1p in plasma, showing promise for early detection of ovarian cancer and monitoring treatment responses in gastroesophageal cancers, suggesting it could be a valuable tool for cancer diagnosis and prognosis.
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Background: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are the leading causes of hepatocellular carcinoma (HCC) worldwide. Limited data exist on surgical outcomes for NAFLD/NASH-related HCC compared with other HCC etiologies. We evaluated differences in clinicopathological characteristics and outcomes of patients undergoing surgical resection for NAFLD/NASH-associated HCC compared with other HCC etiologies.

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Article Synopsis
  • * The Long INterspersed Element-1 (LINE-1) open reading frame 1 protein (ORF1p) is found to be overexpressed in various cancers but not in normal tissues, highlighting its potential as a specific cancer biomarker.
  • * Researchers have developed highly sensitive digital immunoassays to detect ORF1p in blood samples, showing promise for early detection of ovarian cancer and improved monitoring of gastric and esophageal cancers, positioning it as a valuable multi-cancer biomarker.
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Advanced hepatocellular carcinoma (HCC) is responsive to immune checkpoint inhibitors, but there are currently no known biomarkers to predict treatment benefit. Blood TMB (bTMB) estimation via circulating tumor DNA (ctDNA) profiling can provide a convenient means to estimate HCC TMB. Here we provide the first landscape of bTMB in advanced HCC using a commercially available next-generation sequencing assay, show that it is approximately three times as high as matched tissue TMB, and show that bTMB correlates with NAFLD cirrhosis etiology and the presence of genomic alterations in HTERT and TP53.

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Cirrhosis confers a variable risk of developing hepatocellular carcinoma (HCC), but the risk varies significantly depending upon ill-defined factors. In this issue of Med, Fujiwara et al. use hepatic gene signatures and computational analysis to develop a streamlined, robust blood-based predictor of HCC risk in this population.

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Hepatocellular carcinoma (HCC) remains a lethal malignancy and is an increasingly common cause of cancer death worldwide. Curative-intent surgical resection remains the standard of care for eligible patients, yet outcomes remain poor for many patients, with most patients experiencing recurrence in the 5 years after resection. There is currently significant interest in using locoregional and systemic therapies-in both the neoadjuvant and adjuvant settings-to increase the chance of cure.

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Objective: To compare positron emission tomography (PET)/magnetic resonance imaging (MRI) to the standard of care imaging (SCI) for the diagnosis of peritoneal carcinomatosis (PC) in primary abdominopelvic malignancies.

Summary Background Data: Identifying PC impacts prognosis and management of multiple cancer types.

Methods: Adult subjects were prospectively and consecutively enrolled from April 2019 to January 2021.

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High expression of LIN28B is associated with aggressive malignancy and poor survival. Here, probing MYCN-amplified neuroblastoma as a model system, we showed that LIN28B expression was associated with enhanced cell migration in vitro and invasive and metastatic behavior in murine xenografts. Sequence analysis of the polyribosome fraction of LIN28B-expressing neuroblastoma cells revealed let-7-independent enrichment of transcripts encoding components of the translational and ribosomal apparatus and depletion of transcripts of neuronal developmental programs.

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Purpose: Detection of persistent circulating tumor DNA (ctDNA) after curative-intent surgery can identify patients with minimal residual disease (MRD) who will ultimately recur. Most ctDNA MRD assays require tumor sequencing to identify tumor-derived mutations to facilitate ctDNA detection, requiring tumor and blood. We evaluated a plasma-only ctDNA assay integrating genomic and epigenomic cancer signatures to enable tumor-uninformed MRD detection.

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Article Synopsis
  • Patient-reported outcomes (PROs) like quality of life (QOL) and symptom burden are linked to the clinical outcomes in cancer patients, but their relationship with treatment response is not well-studied.
  • A study involving 112 patients with advanced gastrointestinal cancer found that higher physical symptom scores and lower functional QOL scores were associated with poorer treatment responses and increased hospitalization risks.
  • The analysis indicates that baseline PROs can help predict treatment outcomes, healthcare utilization, and survival in these patients, emphasizing the importance of assessing physical symptoms and functional well-being.
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Pancreatic ductal adenocarcinoma (PDAC) lethality is due to metastatic dissemination. Characterization of rare, heterogeneous circulating tumor cells (CTCs) can provide insight into metastasis and guide development of novel therapies. Using the CTC-iChip to purify CTCs from PDAC patients for RNA-seq characterization, we identify three major correlated gene sets, with stemness genes LIN28B/KLF4, WNT5A, and LGALS3 enriched in each correlated gene set; only LIN28B CTC expression was prognostic.

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Single-cell technologies have described heterogeneity across tissues, but the spatial distribution and forces that drive single-cell phenotypes have not been well defined. Combining single-cell RNA and protein analytics in studying the role of stromal cancer-associated fibroblasts (CAFs) in modulating heterogeneity in pancreatic cancer (pancreatic ductal adenocarcinoma [PDAC]) model systems, we have identified significant single-cell population shifts toward invasive epithelial-to-mesenchymal transition (EMT) and proliferative (PRO) phenotypes linked with mitogen-activated protein kinase (MAPK) and signal transducer and activator of transcription 3 (STAT3) signaling. Using high-content digital imaging of RNA in situ hybridization in 195 PDAC tumors, we quantified these EMT and PRO subpopulations in 319,626 individual cancer cells that can be classified within the context of distinct tumor gland "units.

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