Frontiers in Oncology最新文献

Objective: Lung cancer, the most prevalent malignancy, is typically diagnosed at an advanced stage. Smoking is a pivotal risk factor for NSCLC, yet the impact of various smoking statuses on NSCLC remains unclear. Thus, this study aims to explore whether different smoking statuses can causally influence NSCLC through effects on predictive targets, offering a novel perspective for NSCLC treatment.

Methods: Employing dual-sample MR, MVMR, and TSMR approaches, we assessed the causal relationships between 13 distinct smoking statuses and NSCLC, using predicted potential therapeutic targets as mediators to further elucidate the causal interplay among them.

Results: Among the 13 smoking statuses, current tobacco smoking, exposure to tobacco smoke outside the home, past tobacco smoking, and never smoked demonstrated causal relationships with NSCLC. MVMR analysis reveals that Current tobacco smoking is an independent risk factor for NSCLC. Utilizing NCAPD2, IL11RA, and MLC1 as mediators, IL11RA (22.2%) was found to potentially mediate the relationship between past tobacco smoking and NSCLC.

Conclusion: This study, integrating bioinformatics and MR analysis, identified three potential predictive targets as mediators to investigate the causal relationships between different smoking statuses and NSCLC through potential therapeutic targets, providing new insights for the treatment and prevention of NSCLC.

Non-small cell lung cancer (NSCLC) is one of the most common malignancies in the world. EGFR tyrosine inhibitors are the preferred first-line treatment for patients with epidermal growth factor-cell receptor mutant (EGFR mutant) advanced NSCLC. Unfortunately, drug resistance inevitably occurs leading to disease progression. Activation of the ALK and BRAF bypass signaling pathways is a rare cause of acquired drug resistance for EGFR-TKIs.We report two NSCLC-patients with EGFR- mutations, in exon 19, and exon 18, correspondingly, who were treated with EGFR-TKIs. The first case shows acquired BRAF-mutation, and the second case demonstrates acquired ALK-fusion. The overall survival of patients was significantly prolonged by drug-match therapies. As it is well-known that ALK-fusion and BRAF-mutations are described forms of acquired resistance. These two case reports contribute to the previous reports that ALK-fusion and BRAF-mutation are potential underlying mechanisms of EGFR-TKI resistance.

Lung cancer is the major cause of cancer-related deaths worldwide with an estimated 1.8 million deaths and 2.4 million new cases in 2022. Poor cardiorespiratory fitness, dyspnea and fatigue are the common features in lung cancer patients, partially limiting the exercise prescription. Exercise improves cardiorespiratory and muscular fitness and reduces the risk of some types of cancer, including lung cancer. Recently, the American Society of Clinical Oncology has encouraged preoperative exercise for lung cancer patients. Nonetheless, only limited data, mostly obtained from mouse models of lung cancer, are available on the molecular effects of exercise in lung cancer. Thus, the present minireview aims to shed light on the molecular mechanisms induced by different type of exercise in lung cancer. In particular, the role of the exercise in tumor microenvironment remodeling, angiogenesis, gene expression, apoptosis and intermediate metabolism will be examined.

Purpose: This study examines the relationship between tumor burden score (TBS) and survival and recurrence following radical resection of hepatocellular carcinoma through a cohort study conducted in the Guangxi population of China.

Methods: This cohort study eventually recruited 576 HCC patients undergoing radical resection of HCC in the People's Hospital of Guangxi Zhuang Autonomous Region during 2013-2022. After determining the best threshold TBS, all cases were grouped to evaluate the relationship between TBS versus overall survival (OS) and cumulative recurrence. Using X-Tile software, the best threshold TBS to judge patient prognostic outcome following radical resection of HCC was 10.77.

Results: Kaplan-Meier curve analysis revealed that patients with high TBS showed considerably decreased OS relative to the control group, accompanied by an increased recurrence rate. According to multivariate Cox proportional regression, the patients with high TBS were associated with poorer OS (HR = 2.56, 95% CI 1.64-3.99, P < 0.001) and recurrence-free survival (RFS) (HR = 1.55, 95% CI 1.02-2.35, P < 0.001).

Conclusion: In patients undergoing radical resection for HCC, higher TBS was significantly related to shorter OS and RFS.

Background: Tumor-infiltrating lymphocytes (TILs), essential for the anti-tumor response, are now recognized as promising and cost-effective biomarkers with both prognostic and predictive value. They are crucial in the precision treatment of breast cancer, particularly for predicting clinical outcomes and identifying candidates for immunotherapy. This study aims to encapsulate the current knowledge of TILs in breast cancer research while evaluating research trends both qualitatively and quantitatively.

Methods: Publications on TILs in breast cancer studies from January 1, 2004, to December 31, 2023, were extracted from the Web of Science Core Collection. Co-occurrence and collaboration analyses among countries/regions, institutions, authors, and keywords were performed with Bibliometrix R packages and VOSviewer software. CiteSpace was used for reference and keyword burst detection, while high-frequency keyword layouts were generated using BICOMB. gCLUTO was employed for biclustering analysis of the binary co-keyword matrix.

Results: A total of 2,066 articles on TILs in breast cancer were identified. Between 2004 and 2023, the USA and Milan University led productivity in terms of country/region and institution, respectively. The journals "CANCERS," "Breast Cancer Research and Treatment," and "Frontiers in Oncology" published the most articles on this topic. Loi S was the leading author, with the highest number of publications and co-citations. Co-keyword analysis revealed six research hotspots related to TILs in breast cancer. The pathological assessment of TILs using artificial intelligence (AI) remains in its early stages but is a key focus. Burst detection of keywords indicated significant activity in "immune cell infiltration", "immune checkpoint inhibitors", and "hormone receptor" over the past three years.

Conclusion: This study reviews recent advancements and trends in TILs research in breast cancer using scientometric analysis. The findings offer valuable insights for funding decisions and developing innovative strategies in TILs research, highlighting current research frontiers and trends.

Objective: To investigate the role of systemic immune-inflammation index (SII) in complete pathological response (pCR) of breast cancer patients after neoadjuvant chemotherapy, and to establish and validate a nomogram for predicting pCR.

Methods: Breast cancer patients were selected from the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2023. The optimal cut-off value of SII was calculated via ROC curve. The correlation between SII and clinicopathological characteristics was analyzed by Chi-square test. Logistic regression analysis was performed to evaluate the factors that might affect pCR. Based on the results of Logistic regression analysis, a nomogram for predicting pCR was established and validated.

Results: A total of 112 breast cancer patients were included in this study. 33.04% of the patients achieved pCR after neoadjuvant therapy. Chi-square test showed that SII was significantly correlated with pCR (P=0.001). Logistic regression analysis suggested that Ki-67 (P=0.039), therapy cycle (P<0.001), CEA (P=0.025) and SII (P=0.019) were independent predictors of pCR after neoadjuvant chemotherapy. A nomogram based on Ki-67, therapy cycle, CEA and SII showed a good predictive ability.

Conclusion: Ki-67, therapy cycle, CEA and SII were independent predictors of pCR of breast cancer after neoadjuvant chemotherapy. The nomogram based on the above positive factors showed a good predictive ability.

Tumor organoids, an in-vitro three-dimensional model, possess high potential for investigating tumor biology and treatment response and have been demonstrated more appropriate for drug assessment than two-dimensional cultures. Herein, we described two cases of invasive high-grade urothelial carcinoma who underwent radical cystectomy successfully following use of patient-derived organoids (PDOs) for drug screening to inform therapeutic decisions. In these two cases, the PDOs cultured by biopsy tissues were both sensitive to the combination of gemcitabine and cisplatin. After neoadjuvant chemotherapy (NAC) with gemcitabine and cisplatin, the patients responded well, and radical cystectomy was performed successfully. No recurrence or metastasis was observed within 6 months after surgery. This small case series suggests that the patient-derived urothelial carcinoma organoids contribute to optimizing NAC options to guide personalized treatment and improve the survival outcomes.

Background: Childhood acute myeloid leukemia (cAML) is the second most common pediatric blood cancer, with high heterogeneity and poor prognosis. Recent studies have highlighted cuproptosis, a newly discovered form of programmed cell death triggered by the accumulation of intracellular copper ions, as a critical mechanism influencing cancer survival and resistance. Given its emerging role in cancer biology, we investigated cuproptosis-related genes (CRGs) in cAML to explore their potential in prognostic prediction and therapeutic targeting.

Methods: Gene expression data from publicly available sources were analyzed to identify differentially expressed CRGs. Samples were categorized based on their expression profiles, followed by the development of a prognostic risk model using multivariable Cox regression, LASSO, and univariable analyses. The model's performance was evaluated through Kaplan-Meier survival analysis and ROC analysis. Immune infiltration in the tumor microenvironment was assessed using ssGSEA, validated by CIBERSORT. Drug sensitivity correlations were analyzed, and functional validation experiments were conducted on THP-1 and MOLM13 cell lines to assess the role of CNN3.

Results: A set of 12 differential CRGs was used to build a robust prognostic risk model, with high accuracy in predicting patient outcomes (P < 0.001). Significant differences in immune cell composition were identified between risk groups, particularly in T cells, B cells, monocytes, and dendritic cells. Drug sensitivity analysis revealed altered IC50 values for drugs like 5-fluorouracil and bortezomib. Knockdown of CNN3 in leukemia cell lines led to reduced cell proliferation.

Conclusion: Our CRGs-based prognostic model shows potential for guiding personalized treatment strategies in cAML. The differences in immune cell infiltration between risk groups suggest that immune modulation is key in cAML progression. CNN3 and LGR4 were identified as modulators of cAML progression, making them potential therapeutic targets. Future studies with larger cohorts are essential to validate these findings and further explore CRGs-targeted therapies.

Purpose: Cancer-related fatigue is a prevalent issue affecting 50-90% of cancer patients who experience fatigue at diagnosis, during therapy, and often for months or years after the completion of therapy. This study aimed to explore the prevalence of cancer-related fatigue, associated factors, and adult cancer patients' experiences at Hawassa University Comprehensive Specialized Hospital in Ethiopia.

Methods: A mixed-method study was conducted from February 25 to May 15, 2023, via cross-sectional descriptive and phenomenological approaches. The validated Amharic Brief Fatigue Inventory scale and semistructured interview guide were used. The data were processed via Epi-data version 4.4.3.1 and SPSS version 24, with logistic regression analysis. The interview records and field notes were transcribed and translated from Amharic to English and then analysed thematically.

Results: All participants (100%) completed the study, with 77.4% reporting significant fatigue. Fatigue was strongly associated with uninsured medical expenses (P = 0.008, OR = 3.22), late-stage cancer (P = 0.000, OR = 6.11), anaemia (P = 0.009, OR = 3.71), and comorbidities (P = 0.000, OR = 7.22). From the in-depth interviews with 16 participants, two main themes emerged: financial strain (giving up basics, and inability to work) and disease progression (intensified symptoms, increased treatment side effects, and managing multiple conditions).

Conclusion: This study revealed that 77.4% of cancer patients experience significant fatigue, which is linked to a lack of medical insurance, late-stage cancer, anaemia, and comorbid conditions. Financial strain limits access to care, whereas disease progression and managing multiple conditions intensify fatigue. Early intervention, financial support, and integrated care are crucial for reducing fatigue and improving quality of life. Future research should focus on multicentre and longitudinal studies to improve generalizability and track fatigue progression over time.