Gastrointestinal Goblet Cell Adenocarcinomas Harbor Distinctive Clinicopathological, Immune, and Genomic Landscape

Clinicopathological and molecular characterization of extra-appendix goblet cell adenocarcinomas

Goblet cell adenocarcinoma (GCA) is a distinctive type of endocrine-exocrine mixed tumor, exhibiting intermediate morphological features between neuroendocrine tumor and adenocarcinoma. It predominantly arises in the appendix, but primary extra-appendiceal GCA is extremely rare. Here, we presented six cases of primary extra-appendiceal GCA from 2016 to 2022. Notably, one case was originating in the bladder which was the first report of primary GCA to occur outside the digestive tract. The tumors frequently displayed variable goblet cell morphology, characterized by cytoplasmic mucin accumulation and basally located nucleus. Low-grade components typically exhibited glandular or clustered patterns without prominent fibrotic responses. High-grade components demonstrated cribriform, cluster and single-file arrangement accompanied by marked fibrous reactions. Immunohistochemically, the tumors showed positivity for both neuroendocrine markers（synaptophysin, chromogranin A, CD56 ）and adenoids markers（CDX-2, CK20）. Next-generation sequencing revealed the most prevalent mutated genes within GCAs were TP53. Due to their morphological and immunohistochemical similarities to primary appendiceal GCA counterparts, we propose a distinct category for extra-appendiceal Goblet cell adenocarcinoma.

Complementary biomarkers of computed tomography for diagnostic grading of gastric cancer: DSCC1 and GINS1

OBJECTIVE

Computed tomography (CT) is an important tool for grading gastric cancer. Gastric cancer typically originates from epithelial cells of gastric mucosa. However, complementary markers for gastric cancer, relationship between DSCC1, GINS1 and gastric cancer remain unclear.

METHODS

Gastric cancer data were obtained from gene expression omnibus (GEO). Differentially expressed genes (DEGs) were identified, weighted gene co-expression network analysis (WGCNA) was conducted. Protein-protein interaction (PPI) network was constructed and analyzed. Functional enrichment analysis, gene set enrichment analysis (GSEA), gene expression heatmaps, immune infiltration analysis were performed. The most relevant diseases related to core genes were identified using Comparative Toxicogenomics Database (CTD). TargetScan was used to screen miRNAs. Validation was carried out using Western blotting (WB) and reverse transcription-polymerase chain reaction (RT-PCR).

RESULTS

1243 DEGs were identified. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analyses revealed significant enrichment in cell cycle regulation, macrophage migration control, basement membrane, extracellular regions, growth factor binding, protein complex binding, P53 signaling pathway, protein digestion and absorption, metabolic pathways. Immune infiltration analysis indicated that high expression of activated Mast cells and Neutrophils, with a strong positive correlation between them, may influence progression of gastric cancer. CTD analysis revealed associations between DSCC1, GINS1 and gastric tumors, gastrointestinal diseases, tumors, gastritis, inflammation, necrosis. WB and RT-PCR results demonstrated high expression of DSCC1 and GINS1 in gastric cancer.

CONCLUSION

The expressions of DSCC1 and GINS1 are up-regulated in gastric cancer, which can be used as supplementary markers for CT diagnostic grading of gastric cancer.

The Promise of Epigenetics Research in the Treatment of Appendiceal Neoplasms

Appendiceal cancers (AC) are a rare and heterogeneous group of malignancies. Historically, appendiceal neoplasms have been grouped with colorectal cancers (CRC), and treatment strategies have been modeled after CRC management guidelines due to their structural similarities and anatomical proximity. However, the two have marked differences in biological behavior and treatment response, and evidence suggests significant discrepancies in their respective genetic profiles. In addition, while the WHO classification for appendiceal cancers is currently based on traditional histopathological criteria, studies have demonstrated that histomorphology does not correlate with survival or treatment response in AC. Due to their rarity, appendiceal cancers have not been studied as extensively as other gastrointestinal cancers. However, their incidence has been increasing steadily over the past decade, making it crucial to identify new and more effective strategies for detection and treatment. Recent efforts to map and understand the molecular landscape of appendiceal cancers have unearthed a wealth of information that has made it evident that appendiceal cancers possess a unique molecular profile, distinct from other gastrointestinal cancers. This review focuses on the epigenetic landscape of epithelial appendiceal cancers and aims to provide a comprehensive overview of the current state of knowledge of epigenetic changes across different appendiceal cancer subtypes, highlighting the challenges as well as the promise of employing epigenetics in the quest for the detection of biomarkers, therapeutic targets, surveillance markers, and predictors of treatment response and survival in epithelial appendiceal neoplasms.

G-protein signaling modulator 1 promotes colorectal cancer metastasis by PI3K/AKT/mTOR signaling and autophagy

BACKGROUND

Colorectal cancer is the second most common malignant tumor worldwide. A deeper insight into the mechanisms underlying colorectal cancer metastasis is urgently needed. G-protein signaling modulator 1 and autophagy play critical roles in tumor migration and invasion. However, the biological functions and regulatory networks of G-protein signaling modulator 1 and autophagy have not yet been fully studied.

METHODS

We performed immunohistochemistry and clinic-pathological characteristic analysis in 328 human colorectal cancer specimens to identify the clinical role of G-protein signaling modulator 1 in colorectal cancer. An in vitro coculture system and a tumor metastasis mouse model were used to explore the biological function of G-protein signaling modulator 1 on tumor metastasis. Autophagic flux detection like GFP-LC3B signal immunofluorescence and electron microscope observation of autophagic vesicles and confocal microscope detection were used to gain insights into the underlying role of G-protein signaling modulator 1 in autophagy.

RESULTS

We found that G-protein signaling modulator 1 was abundantly expressed in colorectal cancer tissues and was associated with lymph node metastasis and poor prognosis. Furthermore, our bioinformatic and functional studies demonstrated that G-protein signaling modulator 1 significantly promoted cell migration and invasion, both in vitro and in vivo. Mechanistically, we demonstrated that G-protein signaling modulator 1 could promote colorectal cancer cell migration and invasion and inhibit autophagy and by activating the PI3K/AKT/mTOR pathway.

CONCLUSIONS

We proposed that G-protein signaling modulator 1 promotes colorectal cancer metastasis by modulating autophagy through the PI3K/AKT/mTOR pathway.

Patterns of Somatic Variants in Colorectal Adenoma and Carcinoma Tissue and Matched Plasma Samples from the Hungarian Oncogenome Program

Analysis of circulating cell-free DNA (cfDNA) of colorectal adenoma (AD) and cancer (CRC) patients provides a minimally invasive approach that is able to explore genetic alterations. It is unknown whether there are specific genetic variants that could explain the high prevalence of CRC in Hungary. Whole-exome sequencing (WES) was performed on colon tissues (27 AD, 51 CRC) and matched cfDNAs (17 AD, 33 CRC); furthermore, targeted panel sequencing was performed on a subset of cfDNA samples. The most frequently mutated genes were APC, KRAS, and FBN3 in AD, while APC, TP53, TTN, and KRAS were the most frequently mutated in CRC tissue. Variants in KRAS codons 12 (AD: 8/27, CRC: 11/51 (0.216)) and 13 (CRC: 3/51 (0.06)) were the most frequent in our sample set, with G12V (5/27) dominance in ADs and G12D (5/51 (0.098)) in CRCs. In terms of the cfDNA WES results, tumor somatic variants were found in 6/33 of CRC cases. Panel sequencing revealed somatic variants in 8 out of the 12 enrolled patients, identifying 12/20 tumor somatic variants falling on its targeted regions, while WES recovered only 20% in the respective regions in cfDNA of the same patients. In liquid biopsy analyses, WES is less efficient compared to the targeted panel sequencing with a higher coverage depth that can hold a relevant clinical potential to be applied in everyday practice in the future.