BACKGROUND

Espada plant, local name for the snake plant (Dracaena trifasciata) in the Philippines, is characterized by its upright sword-like leaves with vibrant yellow edges under the variety of Laurentii in the Asparagaceae family. This plant has been identified as a viable candidate for cancer research.

To investigate the antiproliferative and cytotoxic capabilities of a semi-purified methanolic extract of D. trifasciata extracted as a basis for cancer research.

The plant extracts were subjected to (1) qualitative phytochemical analysis, (2) instrumentation analysis which includes Fourier Transform Infrared Spectroscopy (FTIR-ATR) and Total Flavonoid Content (TFC), to quantify bioactive ingredients, analyze structures, and evaluate biological chemicals, respectively, and tested to (3) biological assay on the HCT 116 human colorectal cancer cell line using the MTT Cytotoxic Assay.

D. trifasciata extracts revealed the presence of flavonoids, saponins, sterols, triterpenes, alkaloids, and glycosides, all of which contain an OH group and have a high solubility in polar solvents. It correlates to the results of TFC, found to be within 266.8333 mg – 622.6801 mg presented as ?g Quercetin per mL with a linear line of y=0.0005x + 0.023 with a coefficient R2 value of 0.9933. This finding corresponds to FTIR-ATR data, which shows a prominent broad appearance of -OH (primary and secondary alcohol) at peak 3327.21. In MTT Cytotoxic Assay, it has a minimal IC50 than Doxorubicin, as seen in Trial 2 with IC50 = 0.8012 ?g/mL, while antiproliferative activity revealed that D. trifasciata has minimal inhibitory activity in Trials 1 and 3 at the same concentration of 3.125 ?g/ mL as compared to the high antiproliferative property of positive control, as seen in Trial 2. Data showed that the D. trifasciata extract has minimal effectiveness even at 1.56 ?g/mL concentration, implying that other extraction techniques such as fractionation and purification may be used to satisfy its antiproliferative property.

The D. trifasciata extract contains polyalcohol, phenol, polyphenol, and polyhydroxylated metabolites, which are structures that correspond to the major groups of flavonoids (structures that have antioxidant properties), contributing to the high TFC values.

Familial Adenomatous Polyposis (FAP) is a multi-tumoral syndrome that includes neoplasms in the duodenum, brain, pancreas and thyroid. The Cribriform Morular Variant (CMV) is a rare form of Papillary Thyroid Cancer seen in patients with FAP. Presented here is a 32 year old female who initially presented with an anterior neck mass followed years later by a rectal mass. She was diagnosed with FAP and colorectal adenocarcinoma and underwent total proctocolectomy with end ileostomy. She subsequently underwent a total thyroidectomy which revealed CMV Papillary Thyroid Carcinoma (CMV-PTC). Since FAP can have diverse presentations, a high index of suspicion is needed in order to make an earlier diagnosis to reduce potential morbidity and mortality. Papillary thyroid carcinoma can predate colonic polyposis. Identifying CMV-PTC early on can serve as an opportunity diagnose FAP early.

The clinical burden of colorectal cancer (CRC) is high. Population-based screening and early detection are essential to improve the long-term clinical outcome. Nonetheless, a significant proportion of patients still present at an advanced stage, including with acute large bowel obstruction. Image-enhanced endoscopy and artificial intelligence can improve the detection and diagnosis of colonic adenomas and early cancer. Endoscopic resection is regarded as the preferred curative treatment option for colonic adenoma and T0 and T1 CRC limited to the superficial submucosa. Emergency colonic stenting as bridge to interval curative surgery is increasingly accepted as a first-line option when technically feasible. Minimally invasive resection techniques such as laparoscopic colectomy and robot-assisted colorectal surgery have also come of age. These techniques reduce post-treatment morbidity, shorten the recovery process and can be cost-effective while maintaining long-term oncological cure. These outcome measures are relevant to our patients; therefore, minimally invasive approaches to curative resection should be embraced.
Humans ; Colorectal Neoplasms/surgery* ; Minimally Invasive Surgical Procedures/methods* ; Laparoscopy/methods* ; Colectomy/methods* ; Robotic Surgical Procedures/methods* ; Treatment Outcome ; Colonoscopy/methods*

Colorectal cancer (CRC), a major global health concern, necessitates innovative treatments. Chimeric antigen receptor (CAR) T cells have shown promises, yet they grapple with challenges. The spotlight pivots to the rising heroes: CAR natural killer (NK) cells, offering advantages such as higher safety profiles, cost-effectiveness, and efficacy against solid tumors. Nevertheless, the specific mechanisms underlying CAR NK cell trafficking and their interplay within the complex tumor microenvironment require further in-depth exploration. Herein, we provide insights into the design and engineering of CAR NK cells, antigen targets in CRC, and success in overcoming resistance mechanisms with an emphasis on the potential for clinical trials.
Colorectal Neoplasms/immunology* ; Humans ; Killer Cells, Natural/metabolism* ; Receptors, Chimeric Antigen/genetics* ; Immunotherapy, Adoptive/methods* ; Tumor Microenvironment/immunology* ; Animals

BACKGROUND: Most studies have evaluated disability-adjusted life years (DALYs) of colorectal cancer (CRC) patients based on a set of generic disability weights (DWs). This study aimed to apply local CRC-stage-specific DWs to estimate the burden of DALYs for CRC (CRC-DALYs) in populations in China and consider the influence of local screening coverage of CRC. METHODS: A prevalence-based model was constructed using data from various sources. Years lived with disability (YLDs) were estimated mainly via cumulative prevalence data (based on CRC incidence rates, population numbers, and survival rates), stage-specific proportions of CRC, and DWs of the local population. Years of life lost (YLLs) were calculated based on the CRC mortality rates and standard life expectancies. CRC incidence and mortality rates for the years 2020, 2025, and 2030 were estimated by joinpoint regression, and the corresponding DALYs were predicted. The main assumption was made for CRC screening coverage. Sensitivity analyses were used to assess the impact of population, DWs, and coverage. RESULTS: In 2017, among the Chinese population, the estimated number of CRC-DALYs was 4,303,314 (11.9% for YLDs). If CRC screening coverage rate in China (2.3%) remains unchanged, the overall DALYs in 2030 are predicted to increase by 37.2% (45.1% of those aged ≥65 years). More optimistically, the DALYs would then decrease by 0.7% in 2030 (from 5,902,454 to 5,860,200) if the coverage could be increased to 25.0%. A sensitivity analysis revealed that using local DWs would change the base-case values by 5.7%. CONCLUSIONS The estimated CRC-DALYs in China using population-specific DWs were considerably lower (with a higher percentage of YLDs) than the global burden of disease (GBD) estimates (5,865,004, of 4.6% for YLDs), suggesting the impact extent of applying local parameters. Sustainable scale-up CRC screening needs to be in place to moderate the growth trend of CRC-DALYs in China.
Humans ; Colorectal Neoplasms/diagnosis* ; China/epidemiology* ; Disability-Adjusted Life Years ; Male ; Prevalence ; Female ; Middle Aged ; Aged ; Early Detection of Cancer ; Quality-Adjusted Life Years ; Adult ; Incidence

Early-onset colorectal cancer (EOCRC) shows a different epidemiological trend compared to later-onset colorectal cancer, with its incidence rising in most regions and countries worldwide. However, the reasons behind this trend remain unclear. The etiology of EOCRC is complex and could involve both genetic and environmental factors. Apart from Lynch syndrome and Familial Adenomatous Polyposis, sporadic EOCRC exhibits a broad spectrum of pathogenic germline mutations, genetic polymorphisms, methylation changes, and chromosomal instability. Early-life exposures and environmental risk factors, including lifestyle and dietary risk factors, have been found to be associated with EOCRC risk. Meanwhile, specific chronic diseases, such as inflammatory bowel disease, diabetes, and metabolic syndrome, have been associated with EOCRC. Interactions between genetic and environmental risk factors in EOCRC have also been explored. Here we present findings from a narrative review of epidemiological studies on the assessment of early-life exposures, of EOCRC-specific environmental factors, and their interactions with susceptible loci. We also present results from EOCRC-specific genome-wide association studies that could be used to perform Mendelian randomization analyses to ascertain potential causal links between environmental factors and EOCRC.
Humans ; Colorectal Neoplasms/etiology* ; Risk Factors ; Genome-Wide Association Study ; Genetic Predisposition to Disease/genetics*

Colorectal cancer (CRC) is one of the leading causes of cancer-related morbidity and mortality worldwide, highlighting the urgent need for novel preventive and therapeutic strategies. Emerging research highlights the crucial role of the gut microbiota, including bacteria, fungi, viruses, and their metabolites, in the pathogenesis of CRC. Dysbiosis, characterized by an imbalance in microbial composition, contributes to tumorigenesis through immune modulation, metabolic reprogramming, and genotoxicity. Specific bacterial species, such as Fusobacterium nucleatum and enterotoxigenic Bacteroides fragilis , along with fungal agents like Candida species, have been implicated in CRC progression. Moreover, viral factors, including Epstein-Barr virus and human cytomegalovirus, are increasingly recognized for their roles in promoting inflammation and immune evasion. This review synthesizes the latest evidence on host-microbiome interactions in CRC, emphasizing microbial metabolites, such as short-chain fatty acids and bile acids, which may act as both risk factors and therapeutic agents. We further discuss the latest advances in microbiota-targeted clinical applications, including biomarker-assisted diagnosis, next-generation probiotics, and microbiome-based interventions. A deeper understanding of the role of gut microbiome in CRC pathogenesis could pave the way for diagnostic, preventive, and personalized therapeutic strategies.
Humans ; Dysbiosis/microbiology* ; Colorectal Neoplasms/metabolism* ; Gastrointestinal Microbiome/physiology* ; Animals

Colon cancer is a leading cause of cancer-related mortality worldwide, with surgical resection followed by adjuvant chemotherapy being the traditional standard for localized disease. However, the emergence of neoadjuvant therapies has introduced new possibilities for improving outcomes in locally advanced colon cancer (LACC). Neoadjuvant chemotherapy has demonstrated promising results in tumor downstaging, improved resectability, and reduced recurrence rates, as highlighted in trials like FOxTROT (Fluoropyrimidine oxaliplatin and targeted receptor pre-operative therapy), OPTICAL (A phase III study to evaluate the 3-year disease-free survival in patients with locally advanced colon cancer receiving either perioperative or postoperative chemotherapy with FOLFOX or CAPOX regimens), and NeoCol (Neoadjuvant chemotherapy versus standard treatment in patients with locally advanced colon cancer). For deficient mismatch repair (dMMR) tumors, neoadjuvant immunotherapy, exemplified by the NICHE (Neoadjuvant immune checkpoint inhibition and novel IO combinations in early-stage colon cancer) trial, has shown good pathologic response rates. Despite these advancements, challenges such as disease progression during treatment, staging inaccuracies, and chemotherapy-related toxicities underscore the need for precise patient selection and monitoring. Immunotherapy offers significant potential for dMMR tumors, potentially leading to non-surgical management strategies, while neoadjuvant chemotherapy presents a viable option for MMR-proficient (pMMR) patients, improving long-term outcomes in select populations. As the landscape of LACC management evolves, this review emphasizes the importance of personalized treatment strategies informed by biomarkers such as MMR status to maximize therapeutic efficacy and minimize risks. Future directions include refining the role of neoadjuvant therapies in clinical practice, expanding the use of immunotherapy, and exploring innovative combinations of systemic and targeted approaches to enhance survival and quality of life in patients with LACC. This review examines the current evidence supporting neoadjuvant approaches in pMMR and dMMR colon cancer, emphasizing their potential benefits and challenges.
Humans ; Neoadjuvant Therapy/methods* ; Colonic Neoplasms/therapy* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Immunotherapy/methods* ; Chemotherapy, Adjuvant

Humans ; Colorectal Neoplasms/pathology* ; Pathology, Molecular/methods* ; Biomarkers, Tumor/genetics* ; Genetic Testing ; China

Microsatellite instability (MSI) serves as a molecular marker for DNA mismatch repair deficiency (dMMR), present in approximately 15% of colorectal cancer patients. The MSI status provides predictive information guiding treatment decisions; for instance, patients with microsatellite instability-high colorectal cancer demonstrate better responses to immune checkpoint inhibitor therapy. Currently, MSI testing requires methods such as immunohistochemistry or next-generation sequencing. Although multiple clinical guidelines recommend routine MSI testing, its widespread adoption within China remains limited due to various constraints. Deep learning algorithms offer a novel AI-driven pattern recognition classification strategy, presenting a feasible approach to overcome limitations in MSI testing and enhance immunotherapy efficacy evaluation. Consequently, the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association, in collaboration with Beihang University and drawing on current research utilizing artificial intelligence systems to assess colorectal cancer immunotherapy efficacy, has formulated the "Expert consensus on clinical application of immunotherapy intelligent prediction for colorectal cancer based on artificial intelligence platform（2025 version）". This consensus aims to facilitate the prediction of MSI status and other relevant indicators in colorectal cancer patients, while also supporting clinical decision-making regarding the selection and application of immunotherapy regimens.
Humans ; Colorectal Neoplasms/immunology* ; Artificial Intelligence ; Immunotherapy ; Microsatellite Instability ; Consensus ; Deep Learning ; Algorithms