Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

OBJECTIVES: To explore the factors related to prognosis and treatment failure in children with acute lymphoblastic leukemia (ALL). METHODS: A retrospective study was conducted to collect and analyze clinical data of ALL children admitted to the Department of Pediatric Hematology at Tongji Hospital, Huazhong University of Science and Technology, from January 2012 to December 2019, with follow-up until June 2024. RESULTS: A total of 341 children with ALL were included. Among the 69 children with treatment failure, 55 (80%) experienced relapse, while 14 (20%) had non-relapse-related deaths, and no secondary tumors were observed. Initial WBC count ≥50×10⁹/L, positive minimal residual disease, and severe adverse events were identified as independent risk factors for treatment failure (P<0.05). Among the 55 relapsed patients, early relapses were predominant (36%), and the primary site of relapse was the bone marrow (56%). Immunophenotyping (P=0.009), initial WBC count (P=0.011), and fusion genes (P=0.040) were associated with the timing of relapse. High-risk status, T-cell ALL, relapse, and severe adverse events were independent risk factors affecting long-term survival (P<0.05). CONCLUSIONS The prognosis of children with ALL is related to risk stratification, immunophenotyping, relapse status, and occurrence of severe adverse events. Among these factors, relapse is the primary cause of treatment failure. Actively preventing relapse may reduce the treatment failure rate and improve long-term survival.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy* ; Male ; Female ; Child ; Child, Preschool ; Retrospective Studies ; Prognosis ; Treatment Failure ; Adolescent ; Infant ; Risk Factors

OBJECTIVES: To investigate the association between insulin resistance and uterine volume in girls with idiopathic central precocious puberty (ICPP). METHODS: A retrospective study was conducted involving 61 girls diagnosed with ICPP who visited the pediatric growth and development clinic of the Third Affiliated Hospital of Zhengzhou University between January 2022 and September 2024, designated as the ICPP group, and 61 normally developing girls as the control group. The differences in insulin resistance index (homeostasis model assessment of insulin resistance, HOMA-IR), uterine volume, and other indicators between the two groups were compared, and the relationship between insulin resistance and uterine volume in these girls was analyzed. RESULTS: The uterine volume and HOMA-IR level in the ICPP group were significantly higher than those in the control group (P<0.05). Correlation analysis revealed that there was a positive correlation between HOMA-IR level and uterine volume in the ICPP group (r_s=0.643, P<0.001). Multiple linear regression analysis indicated that as HOMA-IR increased,uterine volume in the girls tended to increase (P<0.05). CONCLUSIONS There is an association between insulin resistance and uterine volume in girls with ICPP, and as HOMA-IR increases, uterine volume in the girls also increases.
Humans ; Female ; Insulin Resistance ; Puberty, Precocious/metabolism* ; Uterus/pathology* ; Child ; Retrospective Studies ; Organ Size ; Linear Models

A retrospective analysis was conducted on the clinical course of two children with PICALM-MLLT10-positive acute leukemia treated at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, between July 2021 and July 2023. The patients were diagnosed with acute T-lymphoblastic leukemia with central nervous system involvement and high-risk acute myeloid leukemia, respectively. Both achieved bone marrow complete remission after conventional chemotherapy combined with venetoclax. Following conversion to molecular negativity, they underwent sequential allogeneic hematopoietic stem cell transplantation. At the latest follow-up, both patients were alive and in good clinical condition. These observations suggest that proceeding to hematopoietic stem cell transplantation after venetoclax-based chemotherapy may improve the long-term survival of children with PICALM-MLLT10-positive leukemia.
Humans ; Hematopoietic Stem Cell Transplantation ; Male ; Female ; Child, Preschool ; Transplantation, Homologous ; Child ; Leukemia, Myeloid, Acute/genetics* ; Oncogene Proteins, Fusion/genetics*

Objective To explore the changes in symptom clusters and core symptoms at different stages in col-orectal cancer patients undergoing postoperative chemotherapy,and to provide a reference for developing precise symptom management strategies in clinical practice.Methods 300 colorectal cancer patients who underwent post-operative chemotherapy at 2 tertiary hospitals in Tianjin from August 2023 to May 2024 were conveniently selected as the study subjects.General information questionnaires and the Chinese version of the MD Anderson Symptom In-ventory for Colorectal Cancer were used to survey patients during the first chemotherapy cycle(T1)and the third chemotherapy cycle(T2).Exploratory factor analysis was used to extract symptom clusters;R language was used to construct symptom networks.Results 300 questionnaires were distributed and collected at T1,and 264 question-naires were distributed and collected at T2,with a recovery rate of 88.00％.Colorectal cancer patients undergoing postoperative chemotherapy had 5 symptom clusters at T1,and 4 symptom clusters at T2.In the symptom network,distress was the symptom with the highest strength(rs=1.188),closeness centrality(rc=0.004),and betweenness centrality(rb=36)at T1.Distress was the symptom with the highest strength(rs=1.397),while decreased appetite had the highest closeness centrality(rc=0.004)and betweenness centrality(rb=39)at T2.Conclusion The symptom clusters in colorectal cancer patients undergoing postoperative chemotherapy remain stable over time.Distress is a stable core symptom during chemotherapy,while decreased appetite is a bridging symptom in the mid-chemotherapy phase.Healthcare providers should prioritize interventions for decreased appetite while addressing emotional symptoms to improve the efficiency of symptom management.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Introducing fingerprint level 3 features(especially sweat pores)in fingerprint recognition can significantly improve the value of fingerprints.However,conventional fingerprint visualization methods suffer from issues such as poor stability and reproducibility,insufficient resolution,and feature masking in detecting level 3 features.Electrospun membrane has unique advantages in latent fingerprint(LFP)detection due to its excellent adsorption performance and high specific surface area,and thus its application potential in LFP visualization urgently need to be explored.A novel pore visualization method based on core-shell structured PAN-Flu/PVP composite nanofibrous membrane was proposed in this work.Specifically,the PAN-Flu/PVP composite nanofibrous membrane was prepared via coaxial electrospinning technology,with polyacrylonitrile(PAN)loaded with fluorescein(Flu)as the core and polyvinylpyrrolidone(PVP)as the shell.The experimental results showed that the prepared PAN Flu/PVP composite nanofibrous membrane had a porous structure and excellent adsorption performance.Based on the water solubility of the outer shell PVP and the water induced fluorescence enhancement effect of the core Flu,high-resolution visualization of sweat pores could be achieved within 2 s.The optimization experiment showed that the best quality of sweat latent fingerprints was obtained when the Flu content was 4 mg/mL,the spinning time was 1 h,and the sweating time was 2 min.Through repeated fingerprinting and live fingerprint comparison experiment,the strong stability and high reproducibility of the as-produced membrane in displaying fingerprint sweat pores were finally verified.In summary,the development method could quickly,stably and accurately extract the spatial distribution and activity level of fingerprint sweat pores,which was of great significance for improving the utilization and value of fingerprints.