Cancer Biology & Medicine最新文献

Objective: Large-scale CRISPR screens have identified essential genes across cancer cell lines, but links between tumor functional properties and specific dependencies require investigation to reveal the mechanisms underlying dependencies and broaden understanding of targeted therapy.

Methods: We selected 47 breast cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) with multi-omics data including gene dependency; somatic mutations; copy number alterations; and transcriptomic, proteomic, metabolomic, and methylation data. We established a dependency marker association (DMA) analytic pipeline by using linear regression modeling to assess associations between 3,874 representative gene dependencies and multi-omics markers. Additionally, we conducted non-negative matrix factorization clustering, to stratify breast cancer cell lines according to gene dependency features, and investigated cluster-specific DMAs.

Results: We interpreted valuable DMAs according to two primary aspects. First, dependencies associated with gain-of-function alterations revealed addiction to lactate transporter SLC16A3, thus suggesting a promising therapeutic target. Second, dependencies associated with loss-of-function alterations included synthetic lethality (SL), collateral SL, and prioritized metabolic SL, encompassing paralog SL (e.g., IMPDH1 and IMPDH2), single pathway SL (e.g., GFPT1 and UAP1), and alternative pathway SL (e.g., GPI and PGD). DMA analysis of the two clusters with divergent dependency signatures demonstrated that cluster1 cell lines exhibited extensive metabolism with mitochondrial protein dependencies, whereas cluster2 displays enhanced cell signaling, and reliance on DNA replication and membrane organelle regulators.

Conclusions: We established a DMA analysis pipeline linking the gene dependencies of breast cancer cell lines to multi-omics characteristics, thus elucidating the underpinnings of tumor dependencies and offering a valuable resource for developing novel precision treatment strategies incorporating relevant markers.

Objective: The aim of the current study was to identify independent prognostic factors, evaluate differential adjuvant chemotherapy efficacy across clinicopathologic subgroups, and define adjuvant chemotherapy-sensitive populations.

Methods: A retrospective analysis of 168 AAC patients undergoing curative pancreaticoduodenectomy (2011-2020) was performed. Cases were classified into intestinal (28.0%), pancreatobiliary (30.4%), and mixed subtypes (18.5%) per NCCN (v2.2025) criteria. Independent prognostic factors for AAC patients were identified through uni- and multi-variable Cox proportional hazards modeling and subgroup analyses were stratified by age range, gender, differentiation, T stage, N stage, BVI, TDs, and PNI.

Results: The pancreatobiliary signature (HR = 2.884, P < 0.001) and BVI (HR = 2.330, P = 0.001) were independent poor prognostic factors. Adjuvant chemotherapy improved overall survival (OS) in the following AAC patients: T3-T4 stage (HR = 0.485, P = 0.050); N1-N2 stage (HR = 0.365, P = 0.008); and TD-positive (HR = 0.401, P = 0.026). The median OS increased from 22.3-51.3 months with adjuvant chemotherapy in TD-positive patients (P = 0.019). TD positivity conferred a worse prognosis in BVI-negative subgroups (OS: HR = 3.840, 95% CI: 2.058-7.166, P < 0.001; and progression-free survival (PFS): HR = 2.950, 95% CI: 1.550-5.617, P = 0.002).

Conclusions: The pancreatobiliary signature and BVI constitute critical high-risk pathologic features in AAC. TD status identified high-risk cohorts, thus enabling postoperative risk-stratified treatment strategies. In patients negative for pancreatobiliary signature or BVI, TD positivity predicted significantly worse survival.

Objective: Cervical cancer remains a global health challenge with substantial disparities between countries. High-quality colposcopy is essential for cervical cancer prevention, yet training opportunities remain inadequate worldwide. We developed the Intelligent Digital Education Tool for Colposcopy (iDECO) to address training gaps and evaluated the effect across diverse international settings.

Methods: Six pre-post interventional training programmes were conducted in China, Mexico, and Mongolia from December 2024 to May 2025. A total of 369 trainees from 87 centers participated in a 3-week online training programme using iDECO, a bilingual web-based platform featuring authentic colposcopy cases, gamified learning pathways, and personalized analytics. The primary outcomes included colposcopy competence in general assessment, colposcopic findings, diagnostic accuracy, and management decisions. The secondary outcomes focused on participant feedback and satisfaction.

Results: Of 369 participants who completed pretests, 333 (90.24%) completed post-training assessments. Significant improvements were observed across all competency domains. Diagnostic accuracy increased with an odds ratio (OR) of 1.72 (95% CI: 1.60-1.86) with the greatest gains in high-grade lesion identification [OR = 2.27 (95% CI: 1.94-2.64)]. Squamocolumnar junction visibility and transformation zone type assessments improved with ORs of 1.41 (95% CI: 1.31-1.51) and 1.87 (95% CI: 1.73-2.01), respectively. Biopsy decision-making accuracy also showed significant improvement [OR = 2.09 (95% CI: 1.91-2.29)]. International participants showed lower baseline performance but achieved the greatest improvements. Greater than 85% of participants rated the training highly satisfactory and 83.56% preferred intelligent training over traditional methods.

Conclusions: iDECO-based training significantly improved colposcopy competence across diverse international settings with high user satisfaction. These findings support the potential for worldwide implementation of intelligent digital training tools to address colposcopy training gaps and contribute to the elimination of cervical cancer.

Objective: Cervical cancer caused by persistent high-risk human papillomavirus (hrHPV) infection remains a leading cause of cancer-related mortality in women. As prophylactic HPV vaccines cannot eliminate existing infections, developing therapeutic vaccines targeting HPV E6/E7 oncoproteins is critical for reversing precancerous lesions. This study aimed to design a novel multi-epitope vaccine against HPV16, incorporating newly identified immunodominant epitopes and evaluating the therapeutic efficacy.

Methods: The multi-epitope vaccine HSP70-12P was bioinformatically designed to include cytotoxic T lymphocyte (CTL) and helper T lymphocyte (HTL) epitopes from HPV16 E6/E7, which were fused to the C-terminal domain (residues 359-610) of Mycobacterium tuberculosis HSP70 as an adjuvant. Two formulations were used, as follows: (1) protein-based Pro-HSP70-12P; and (2) DNA-based DNA-HSP70-12P. Therapeutic efficacy was evaluated in TC-1 tumor-bearing mouse models. Tumor regression, survival rates, and immune correlates (T cell responses and cytokine profiles) were assessed. Immunodominant epitopes were identified using ELISpot.

Results: The Pro-HSP70-12P protein vaccine induced strong immune responses and provided lasting antitumor protection. The vaccine activated cell-mediated immunity and stimulated effector memory T cells in the HPV-16-related tumor mouse model, resulting in strong tumor clearance effects. Pro-HSP70-12P demonstrated superior performance compared to the DNA-HSP70-12P vaccine, achieving complete regression of small tumors (diameter < 2 mm) with a single dose and conferring long-lasting protection in TC-1 rechallenge experiments. Three novel immunodominant epitopes were identified (E6-38-45, E6-124-132, and E7-50-57). The E6 epitopes address a critical gap in E6-targeted vaccine design.

Conclusions: The multi-epitope protein vaccine, Pro-HSP70-12P, represents a potent therapeutic candidate against HPV-driven malignancies, which has the capacity to induce tumor regression and long-term immunity. These findings support further clinical development.

Objective: Drawbacks of human papillomavirus (HPV) primary screening, including high referral rates and low specificity, highlight the necessity for triage strategies to balance the screening benefits with potential harms.

Methods: A cross-sectional, population-based diagnostic study was conducted in rural Xinjiang, China involving 8,638 women ≥ 25 years of age who participated in organized cervical cancer screening between 2023 and 2024. The study evaluated the accuracy and efficiency of multiple HPV-based "screen-triage" strategies. Histologically confirmed cervical intraepithelial neoplasia grade 2 or worse (CIN2+ and CIN3+) served as disease outcomes.

Results: Among single-step triage strategies, only extended genotyping for the seven most carcinogenic HPV types (HPV16/18/31/33/45/52/58) maintained sensitivity for CIN2+ comparable to HPV screening without triage (90.0% vs. 92.5%, P = 0.50) but significantly improved specificity (94.7% vs. 90.8%, P < 0.001). This approach led to a 38% reduction in colposcopy referrals (relative rate, 0.62; 95% CI: 0.59-0.65). Two-step triage algorithms (HPV16/18 with reflex ASC-US+ or methylation) showed slightly lower but non-significant sensitivity (87.5%, P = 0.13/89.6%, P =0.50) than HPV primary screening without triage, yet achieved significantly increased specificity (> 95%, P < 0.001) and reduced colposcopy referral by ~50% (relative rate, 0.5; P < 0.001). If negative for cytology or methylation, women positive for 12 high-risk HPV types (excluding HPV16/18) had a < 2% risk of CIN2+ (CIN3+ risk < 1%), indicating delayed follow-up.

Conclusions: Focusing on the seven high-risk HPV types within a one-step "screen-triage" framework effectively balances minimal sensitivity loss with significant gains in specificity, reducing unnecessary referrals and treatments, especially valuable in resource-limited settings. Integrating HPV genotyping with methylation results improves the accurate identification of women requiring immediate referral, which is advisable when resources allow.