Cancer Research Articles

Transcriptomic characteristics according to tumor size and SUVmax in papillary thyroid cancer patients

The SUVmax is a measure of FDG uptake and is related with tumor aggressiveness in thyroid cancer, however, its association with molecular pathways is unclear. Here, we investigated the relationship between SUVmax and gene expression profiles in 80 papillary thyroid cancer (PTC) patients. We conducted an analysis of DEGs and enriched pathways in relation to SUVmax and tumor size. SUVmax showed a positive correlation with tumor size and correlated with glucose metabolic process. The genes that indicate thyroid differentiation, such as SLC5A5 and TPO, were negatively correlated with SUVmax. Unsupervised analysis revealed that SUVmax positively correlated with DNA replication(r = 0.29, p = 0.009), pyrimidine metabolism(r = 0.50, p < 0.0001) and purine metabolism (r = 0.42, p = 0.0001). Based on subgroups analysis, we identified that PSG5, TFF3, SOX2, SL5A5, SLC5A7, HOXD10, FER1L6, and IFNA1 genes were found to be significantly associated with tumor aggressiveness. Both high SUVmax PTMC and macro-PTC are enriched in pathways of DNA replication and cell cycle, however, gene sets for purine metabolic pathways are enriched only in high SUVmax macro-PTC but not in high SUVmax PTMC. Our findings demonstrate the molecular characteristics of high SUVmax tumor and metabolism involved in tumor growth in differentiated thyroid cancer.

Human-like intelligent automatic treatment planning of head and neck cancer radiation therapy.

Automatic treatment planning of radiation therapy (RT) is desired to ensure plan quality, improve planning efficiency, and reduce human errors. We have proposed an Intelligent Automatic Treatment Planning framework with a virtual treatment planner (VTP), an artificial intelligence robot built using deep reinforcement learning (DRL), autonomously operating a treatment planning system (TPS). This study extends our previous successes in relatively simple prostate cancer RT planning to head-and-neck (H&N) cancer, a more challenging context even for human planners due to multiple prescription levels, proximity of targets to critical organs, and tight dosimetric constraints.&#xD;&#xD;We integrated VTP with a real clinical TPS to establish a fully automated planning workflow guided by VTP. This integration allowed direct model training and evaluation using the clinical TPS. We designed the VTP network structure to approach the decision-making process in RT planning in a hierarchical manner that mirrors human planners. The VTP network was trained via the Q-learning framework. To assess the effectiveness of VTP, we conducted a prospective evaluation in the 2023 Planning Challenge organized by the American Association of Medical Dosimetrists (AAMD). We extended our evaluation to include 20 clinical H&N cancer patients, comparing the plans generated by VTP against their clinical plans.&#xD;&#xD;In the prospective evaluation for the AAMD Planning Challenge, VTP achieved a plan score of 139.08 in the initial phase evaluating plan quality, and 15 min of planning time with the first place ranking in the adaptive phase competing for planning efficiency while meeting all plan quality requirements. For clinical cases, VTP-generated plans achieved an average VTP score of 125.33±11.12, which outperformed the corresponding clinical plans with an average score of117.76±13.56.&#xD;&#xD;We successfully integrated VTP with the clinical TPS to achieve a fully automated treatment planning workflow. The compelling performance of VTP demonstrated its potential in automating H&N RT planning.

Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing

Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically comprises thousands of gene expression reads per cell, which artificial intelligence algorithms can accurately analyze. This work presents machine-learning-based classifiers that differentiate CTCs from peripheral blood mononuclear cells (PBMCs) based on single cell RNA sequencing data. We developed four tree-based models and we trained and tested them on a dataset consisting of Smart-Seq2 sequenced data from primary tumor sections of breast cancer patients and PBMCs and on a public dataset with manually annotated CTC expression profiles from 34 metastatic breast patients, including triple-negative breast cancer. Our best models achieved about 95% balanced accuracy on the CTC test set on per cell basis, correctly detecting 133 out of 138 CTCs and CTC-PBMC clusters. Considering the non-invasive character of the liquid biopsy examination and our accurate results, we can conclude that our work has potential application value.

Measuring cfDNA integrity as a biomarker for predicting neoadjuvant chemotherapy response in breast cancer patients: a pilot study.

Circulating cell-free DNA (cfDNA) is a promising biomarker for predicting treatment response and disease outcomes in Breast Cancer (BC) patients undergoing neoadjuvant chemotherapy (NAC). To determine if cfDNA originates from tumors, matching tumor and cfDNA gene mutations are necessary, often requiring tumor DNA sequencing. We assessed plasma cfDNA integrity by measuring concentrations and ratios of larger-to-smaller Alu DNA fractions as a potential biomarker, eliminating the need for prior tumor sequencing. We included patients with localized and/or locally advanced BC receiving standard NAC alone or in combination with immunotherapy and/or anti-HER2 targeted therapy. Blood samples were collected before treatment, every 2 weeks during treatment, and before surgery. Of the 38 evaluated patients, only 28 completed the protocol and underwent surgery after NAC. Seven patients (25%) achieved a pathologic complete response (pCR). We found that cfDNA integrity (cfDNAI) levels at 15days after starting NAC were significantly higher in patients who achieved pCR (p = 0.045) and correlated significantly with Disease-Free Survival (DFS) in univariate analysis (p = 0.0371). Evaluation of cfDNAI 2 weeks after NAC initiation appears to be an early biomarker for tumor pCR and DFS. Measuring Alu fragments of different lengths may replace techniques requiring prior tumor sequencing to measure ctDNA, reducing costs and complexity of cfDNA serial measurements in BC patients undergoing NAC.

Prognostic value of skeletal muscle measured by CT at the T4 level in advanced EGFR-positive non-small cell lung cancer patients treated with ecotinib

Objective: To investigate the prognostic value of skeletal muscle measured by CT at the level of the fourth thoracic vertebra (T4) in advanced epidermal growth factor receptor (EGFR)-positive non-small cell lung cancer (NSCLC) patients treated with ecotinib. Methods: The study retrospectively reviewed clinical and pathological characteristics of 176 patients with advanced EGFR-positive NSCLC who received ecotinib and underwent chest CT scans at Wuhan Union Hospital between January 2017 and October 2020. Among them, 70 were male and 106 were female, with ages ranging from 27 to 80 (58.6±10.6) years. As of August 21, 2021, the median follow-up duration was 19.2 months (95%CI: 15.3 to 23.7 months). The optimal cut-off value of skeletal muscle density (T4-SMD) on CT images at the T4 level were determined using X-tile software. Kaplan-Meier analysis and log-rank test were used to plot progression-free survival curves. Cox proportional hazards regression models were employed to analyze factors influencing 1-year progression-free survival (PFS), and a nomogram prognostic model was constructed accordingly. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were utilized to evaluate the predictive value of the nomogram. Results: The T4-SMD [M (Q1,Q3)] of 176 patients was 42.56 (37.05, 45.93) HU. Patients were divided into low T4-SMD group (n=122) and high T4-SMD group (n=54) based on the cut-off value (The values for males and females were 49.44 and 41.41 HU, respectively) of T4-SMD. The median PFS time and 1-year PFS rate in the low T4-SMD group were significantly lower than those in the high T4-SMD group [10.4 (95%CI: 9.3-11.8) vs 13.7 (95%CI: 11.1-18.5) months, 36.1% vs 59.3%, respectively, P=0.034]. Eastern Cooperative Oncology Group performance status (HR=3.308, 95%CI: 1.183-9.247, P=0.023), lactate dehydrogenase level (HR=1.852, 95%CI: 1.037-3.307, P=0.037), systemic immune-inflammation index (HR=1.772, 95%CI: 1.019-3.080, P=0.043), and T4-SMD (HR=0.563, 95%CI: 0.325-0.974, P=0.040) were prognostic factors for 1-year PFS in advanced EGFR-positive NSCLC patients treated with ecotinib. A nomogram for predicting 1-year PFS of advanced EGFR-positive NSCLC patients treated with ecotinib was constructed based on the four indicators selected by multivariate Cox regression analysis. The area under the ROC curve of the nomogram was 0.775 (95%CI: 0.676-0.874). The calibration curve showed good consistency between the predicted and actual 1-year PFS. DCA demonstrated good clinical prediction effectiveness of the nomogram. Conclusion: Low T4-SMD is a prognostic risk factor for patients with advanced EGFR-positive NSCLC receiving icotinib therapy.

Objective response after immune checkpoint inhibitors in a chemotherapy-refractory pMMR/MSS metastatic rectal cancer patient primed with experimental AlloStim® immunotherapy

BackgroundImmune Checkpoint Inhibitor (ICI) immunotherapy is most effective in immune effector cell infiltrated ‘hot’ tumor lesions, such as occurs in deficient mismatch repair, microsatellite instability high (dMMR/MSI-H) colorectal cancer (CRC). However, most all metastatic CRC tumors are mismatch repair proficient/microsatellite stable (pMMR/MSS) ‘cold’ lesions, without significant immune cell infiltration, and are unresponsive to ICI. AlloStim®, is an experimental, allogeneic immunomodulatory cell therapy designed to convert ‘cold’ metastatic tumor lesions to ‘hot’ inflamed lesions. After AlloStim® immunotherapy, this cold to hot inflammatory mechanism can make it difficult to distinguish between pseudoprogression and actual progression on restaging CT scans, as inflamed metastatic lesions can appear larger and occult disease can appear as new small lesions.MethodsTo explore whether radiological progression after AlloStim® immunotherapy is due to immune-flare or disease progression, we administered a short course of a combination ICI therapy to a pMMR/MSS chemotherapy-refractory metastatic colorectal cancer patient enrolled in the StimVax Phase IIb clinical study that presented with radiological progression after AlloStim® immunotherapy. Our rationale was that an accelerated response to ICI should occur if the lesions were inflamed, while if the enlarged lesions were due to disease progression there would not be a response.ResultsHere we report a rapid, significant reduction in tumor burden in response to ICI administration in an AlloStim® primed pMMR/MSS mCRC patient with retroperitoneal and lung metastases.ConclusionThis rare objective response to ICIs in a pMMR/MSS mCRC patient supports further evaluation of the combination of AlloStim® with ICI immunotherapy in MSS mCRC and other cold or ICI refractory tumors.Trial registrationNational Library of Medicine (NLM) at the National Institutes of Health (NIH). Registered 22 June 2020, https://clinicaltrials.gov/study/NCT04444622.

Comparative analysis of symptom burdens and influential factors among diverse terminally-ill patients.

The suffering experienced by terminally-ill patients encompasses physiological, psychosocial and spiritual dimensions. While previous studies have investigated symptom burden intensity for specific disease groups, such as cancer or heart failure patients, a research gap exists in understanding major distressing symptoms among diverse terminally-ill patients. This study assessed symptom burden intensity and explored its influential factors among diverse patient disease groups. This cross-sectional study utilized the baseline Integrated Palliative care Outcome Scale (IPOS) assessment data. The study participants were terminally-ill patients enrolled in an end-of-life care (EoLC) intervention in Hong Kong. Statistical methods including relative importance index (RII), one-way analysis of variance (ANOVA), and generalized linear regression (GLR) were employed. Final sample consisted of 1,549 terminally-ill patients (mean age =77.4 years, SD =11.6). The five top-rated distressing symptoms among these patients, revealed by the RII analysis, were poor mobility (RII =64.4%), family anxiety (RII =63.5%), sharing feelings with family/friends (RII =61.4%), weakness/ lack of energy (RII =58.1%), and hardly feeling at peace (RII =50.7%). One-way ANOVA showed significant differences among the eight disease groups in perceived physical and emotional symptom burden intensity (P<0.05). Analysis of RII symptom scores for each disease group revealed that poor mobility was rated as the most distressing symptom (RII =85.1-62.9%) by patients with motor neurone disease, Parkinson's disease, heart failure, dementia, end-stage renal disease and other serious diseases (including stroke, hematological disease, multiple sclerosis and liver diseases). Perceived family anxiety (RII =66.1%) and shortness of breath (RII =63.8%) were the most distressing symptoms for cancer patients and those with chronic obstructive pulmonary disease, respectively. GLR analysis showed that illness type is the most significant factor influencing the perceived burden intensity in terms of the IPOS total and subscale scores of physical symptoms, emotional symptoms and communication/practical issues. Demographic characteristics such as age, gender, marital status and co-residing status were also identified as influential factors of various symptom categories. However, patients' educational level and relationship with primary caregiver did not significantly influence any perceived symptom burden. This study provides valuable insights into the symptom burdens experienced by diverse patient disease groups at end-stage of life. The findings highlight the major distressing symptoms of poor mobility, family anxiety, and shortness of breath. Addressing these symptoms is crucial in improving the quality of care for terminally-ill patients. Furthermore, the study identifies influential factors that can affect the perceived intensity of symptom burden, primarily the main type of terminal illness and patient's age. Tailored care support and improved clinical care should be implemented, particularly for high-risk groups such as patients with non-cancer terminal illnesses and older aged patients. These findings contribute to existing literature and emphasize the need for comprehensive and individualized care in EoLC.

The health-related quality of life of early-onset colorectal cancer patients: an Australian cross-sectional study.

Early-onset colorectal cancer (EOCRC) patients are more likely to have advanced disease and undergo more aggressive treatment modalities. However, current literature investigating the health-related quality of life (HRQoL) of EOCRC patients is scarce. This study aimed to determine the HRQoL of an Australian cohort of EOCRC patients including a subset who underwent pelvic exenteration (PE) or cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). A cross-sectional study of EOCRC patients treated at the Royal Prince Alfred Hospital, Sydney Australia was performed. Patients were divided into groups based on the time interval from their index operation: ≤2 years and >2 years. HRQoL was evaluated using the SF-36v2 questionnaire. A total of 50 patients were included. For patients ≤2 years from surgery, the median physical component summary (PCS) and mental health component summary (MCS) scores were 53.3 (36.4-58.9) and 47.3 (37.5-55.7). In the >2 years group, the median PCS and MCS scores were 50.6 (43.3-57.7) and 50.2 (39.04-56.2), respectively. Stage I (vs. stage II) disease and emergency (vs. elective) surgery conferred poorer PCS scores in patients ≤2 years from surgery. No other variables impacted PCS or MCS scores in EOCRC patients in either group. HRQoL of EOCRC patients was equivocal to the Australian population. Having an earlier stage of diagnosis and emergency index operation was associated with poorer levels of physical functioning in patients ≤2 years from surgery. However, because of the limitations of this study, these findings require validation in future large-scale prospective research.

Optimized Enzyme-Linked Immunosorbent Assay for Anti-PEG Antibody Detection in Healthy Donors and Patients Treated with PEGylated Liposomal Doxorubicin.

There is considerable interest in quantifying anti-PEG antibodies, given their potential involvement in accelerated clearance, complement activation, neutralization, and acute reactions associated with drug delivery systems. Published and commercially available anti-PEG enzyme-linked immunosorbent assays (ELISAs) differ significantly in terms of reagents and conditions, which could be confusing to users who want to perform in-house measurements. Here, we optimize the ELISA protocol for specific detection of anti-PEG IgG and IgM in sera from healthy donors and in plasma from cancer patients administered with PEGylated liposomal doxorubicin. The criterion of specificity is the ability of free PEG or PEGylated liposomes to inhibit the ELISA signals. We found that coating high-binding plates with monoamine methoxy-PEG5000, as opposed to bovine serum albumin-PEG20000, and blocking with 1% milk, as opposed to albumin or lysozyme, significantly improve the specificity, with over 95% of the signal being blocked by competition. Despite inherent between-assay variability, setting the cutoff value of the optical density at the 80th percentile consistently identified the same subjects. Using the optimized assay, we longitudinally measured levels of anti-PEG IgG/IgM in cancer patients before and after the PEGylated liposomal doxorubicin chemotherapy cycle (1 month apart, three cycles total). Antibody titers did not show any increase but rather a decrease between treatment cycles, and up to 90% of antibodies was bound to the infused drug. This report is a step toward harmonizing anti-PEG assays in human subjects, emphasizing the cost-effectiveness and optimized specificity.

Safety and margin positivity rates of surgeon-performed intraoperative ultrasound-guided wire localization for breast cancer

BackgroundSurgeon-performed intraoperative ultrasound-guided wire localization (IOL) offers an improved patient experience and decreased cost compared to preoperative localization by radiology, yet literature on this technique is sparse. Here we evaluate the safety and margin positivity rate after surgeon-performed IOL for breast cancer. MethodsPatients with biopsy-proven breast malignancy and planned breast conservation who underwent IOL by a single breast surgeon between 2017–2023 and had follow-up at our institution were retrospectively identified. Patient and tumor characteristics, method of diagnosis, imaging findings, use of oncoplastic surgery, and follow-up data were analyzed. ResultsA total of 137 IOLs were performed for biopsy-proven ductal carcinoma in situ (DCIS) or invasive cancer. The median patient age was 69 years. Most patients had a non-palpable tumor (n = 104, 76.5%). 84.6% of patients underwent pre-operative biopsy by ultrasound guidance, 12.5% by stereotactic guidance, and 2.9% by MRI. In total, 7.3% of patients (n = 10) had positive margins, including 2 with invasive disease at the margin and 8 with DCIS at the margin. Nine patients underwent re-excision for positive or close margins, of which 8 had successful margin-negative breast conservation and 1 patient underwent mastectomy. Thirty-day postoperative complications occurred in 21 patients (15.3%). Of these, most (n = 19, 90.4%) had minor complications including seroma (n = 14), cellulitis (n = 3), and skin allergy (n = 2). At median follow-up of 20.4 months, no patients experienced recurrence. ConclusionsIn our single-surgeon series, IOL is a safe technique for localization of invasive carcinoma and DCIS with margin positivity, re-excision, and postoperative complication rates within previously published ranges. SynopsisThis study evaluates the safety of and re-excision rates after intraoperative surgeon-performed ultrasound-guided wire localization (IOL) for breast cancer. Results demonstrate margin positivity and re-excision rates equivalent to or lower than rates reported in literature utilizing preoperative localization techniques.

Bystander effects, pharmacokinetics, and linker-payload stability of EGFR-targeting antibody-drug conjugates Losatuxizumab vedotin and Depatux-M in glioblastoma models.

Antibody-drug conjugates (ADCs) are targeted therapies with robust efficacy in solid cancers, and there is intense interest in using EGFR-specific ADCs to target EGFR-amplified glioblastoma (GBM). Given the molecular heterogeneity of GBM, bystander activity of ADCs may be important for determining treatment efficacy. In this study, the activity and toxicity of two EGFR-targeted ADCs, Losatuxizumab vedotin (ABBV-221) and Depatuxizumab mafodotin (Depatux-M), with similar auristatin toxins, were compared in GBM patient-derived xenografts (PDXs) and normal murine brain following direct infusion by convection enhanced delivery (CED). EGFRviii-amplified and non-amplified GBM PDXs were used to determine in vitro cytotoxicity, in vivo efficacy, and bystander activities of ABBV-221 and Depatux-M. Non-tumor bearing mice were used to evaluate pharmacokinetics and toxicity of ADCs using LC-MS/MS and immunohistochemistry. CED improved intracranial efficacy of Depatux-M and ABBV-221 in three EGFRviii-amplified GBM PDX models (Median survival: 125 to >300 days vs 20-49 days with isotype-control AB095). Both ADCs had comparable in vitro and in vivo efficacy. However, neuronal toxicity and CD68+ microglia/macrophage infiltration were significantly higher in brains infused with ABBV-221, with the cell-permeable MMAE, as compared to Depatux-M, with the cell-impermeant MMAF. CED infusion of ABBV-221 into brain or incubation of ABBV-221 with normal brain homogenate resulted in significant release of MMAE, which is consistent with linker instability in the brain microenvironment. EGFR-targeting ADCs are promising therapeutic options for GBM when delivered intra-tumorally by CED. However, the linker and payload for the ADC must be carefully considered to maximize the therapeutic window.

Cancer Stem Cell and Epithelial Mesenchymal Transition (EMT) in Canine Transmissible Venereal Tumour- A Preliminary Study

Cancer Stem Cell and Epithelial Mesenchymal Transition (EMT) in Canine Transmissible Venereal Tumour- A Preliminary Study

Palliative Care at the University Hospital Center Mohammed VI of Marrakech: Activity Report

Palliative care is an active, continuous, evolving care, coordinated and practiced by a multidisciplinary team. Palliative care is aimed at people suffering from serious, progressive, life-threatening illnesses whose progression to the advanced and terminal stages exceeds current therapeutic resources. This study is an activity report of the palliative care department at the University Hospital Center Mohammed VI, its aim is to prepare the inventory, raise the main constraints and suggestions for management. They are multiple, varied and located at several levels of the supported. They mainly relate to the human and material resources made available to the service and organizational order. These constraints constitute real opportunities for improvement which must call on all those responsible involved or concerned by cancerous pathology in order to to improve service performance.

FGFR2-triggered autophagy and activation of Nrf-2 reduce breast cancer cell response to anti-ER drugs

BackgroundGenetic abnormalities in the FGFR signalling occur in 40% of breast cancer (BCa) patients resistant to anti-ER therapy, which emphasizes the potential of FGFR-targeting strategies. Recent findings indicate that not only mutated FGFR is a driver of tumour progression but co-mutational landscapes and other markers should be also investigated. Autophagy has been recognized as one of the major mechanisms underlying the role of tumour microenvironment in promotion of cancer cell survival, and resistance to anti-ER drugs. The selective autophagy receptor p62/SQSTM1 promotes Nrf-2 activation by Keap1/Nrf-2 complex dissociation. Herein, we have analysed whether the negative effect of FGFR2 on BCa cell response to anti-ER treatment involves the autophagy process and/or p62/Keap1/Nrf-2 axis.MethodsThe activity of autophagy in ER-positive MCF7 and T47D BCa cell lines was determined by analysis of expression level of autophagy markers (p62 and LC3B) and monitoring of autophagosomes’ maturation. Western blot, qPCR and proximity ligation assay were used to determine the Keap1/Nrf-2 interaction and Nrf-2 activation. Analysis of 3D cell growth in Matrigel® was used to assess BCa cell response to applied treatments. In silico gene expression analysis was performed to determine FGFR2/Nrf-2 prognostic value.ResultsWe have found that FGFR2 signalling induced autophagy in AMPKα/ULK1-dependent manner. FGFR2 activity promoted dissociation of Keap1/Nrf-2 complex and activation of Nrf-2. Both, FGFR2-dependent autophagy and activation of Nrf-2 were found to counteract the effect of anti-ER drugs on BCa cell growth. Moreover, in silico analysis showed that high expression of NFE2L2 (gene encoding Nrf-2) combined with high FGFR2 expression was associated with poor relapse-free survival (RFS) of ER+ BCa patients.ConclusionsThis study revealed the unknown role of FGFR2 signalling in activation of autophagy and regulation of the p62/Keap1/Nrf-2 interdependence, which has a negative impact on the response of ER+ BCa cells to anti-ER therapies. The data from in silico analyses suggest that expression of Nrf-2 could act as a marker indicating potential benefits of implementation of anti-FGFR therapy in patients with ER+ BCa, in particular, when used in combination with anti-ER drugs.Graphical

Longitudinal assessment of real-world patient adherence: a 12-month electronic patient-reported outcomes follow-up of women with early breast cancer undergoing treatment

BackgroundElectronic patient-reported outcomes (ePROs) assess patients’ health status and quality of life, improving patient care and treatment effects, yet little is known about their use and adherence in routine patient care.AimsWe evaluated the adherence of invasive breast cancer and ductal carcinoma in situ (DCIS) patients to ePROs follow-up and whether specific patient characteristics are related to longitudinal non-adherence.MethodsSince November 2016, the Breast Center at Charité – Universitätsmedizin Berlin has implemented an ongoing prospective PRO routine program, requiring patients to complete ePROs assessments and consent to email-based follow-up in the first 12 months after therapy starts. Frequencies and summary statistics are presented. Multiple logistic regression models were performed to determine an association between patient characteristics and non-adherence.ResultsOut of 578 patients, 239 patients (41.3%, 95%CI: 37.3–45.5%) completed baseline assessment and all five ePROs follow-up during the first 12 months after therapy. On average, above 70% of those patients responded to the ePROs follow-up assessment. Adherence to the ePROs follow-up was higher during the COVID-19 pandemic than in the time periods before (47.4% (111/234) vs. 33.6% (71/211)). Factors associated with longitudinal non-adherence were younger age, a higher number of comorbidities, no chemotherapy, and a low physical functioning score in the EORTC QLQ-C30 at baseline.ConclusionsThe study reveals moderate adherence to 12-month ePROs follow-up assessments in invasive early breast cancer and DCIS patients, with response rates ranging from 60 to 80%. Emphasizing the benefits for young patients and those with high disease burdens might further increase adherence.

Establishment, characterization, and genetic profiling of patient-derived osteosarcoma cells from a patient with retinoblastoma

Osteosarcoma is the most common malignant bone cancer in pediatric patients. Patients who respond poorly to chemotherapy experience worse clinical outcomes with a high mortality rate. The major challenge is the lack of effective drugs for these patients. To introduce new drugs for clinical approval, preclinical studies based on in vitro models must demonstrate the potency of the tested drugs, enabling the drugs to enter phase 1 clinical trials. Patient-derived cell culture is a promising testing platform for in vitro studies, as they more accurately recapitulate cancer states and genetic profiles compared to cell lines. In the present study, we established patient-derived osteosarcoma cells (PDC) from a patient who had previously been diagnosed with retinoblastoma. We identified a new variant of a germline mutation in the RB1 gene in the tissue of the patient. The biological effects of this PDC were studied to observe whether the cryopreserved PDC retained a feature of fresh PDC. The cryopreserved PDC preserved the key biological effects, including cell growth, invasive capability, migration, and mineralization, that define the conserved phenotypes compared to fresh PDC. From whole genome sequencing analysis of osteosarcoma tissue and patient-derived cells, we found that cryopreserved PDC was a minor population in the origin tissue and was selectively grown under the culture conditions. The cryopreserved PDC has a high resistance to conventional chemotherapy. This study demonstrated that the established cryopreserved PDC has the aggressive characteristics of osteosarcoma, in particular the chemoresistance phenotype that might be used for further investigation in the chemoresistant mechanism of osteosarcoma. In conclusion, the approach we applied for primary cell culture might be a promising method to generate in vitro models for functional testing of osteosarcoma.

SRSF1 interactome determined by proximity labeling reveals direct interaction with spliceosomal RNA helicase DDX23

SRSF1 is the founding member of the SR protein family. It is required-interchangeably with other SR proteins-for pre-mRNA splicing in vitro, and it regulates various alternative splicing events. Dysregulation of SRSF1 expression contributes to cancer and other pathologies. Here, we characterized SRSF1's interactome using proximity labeling and mass spectrometry. This approach yielded 190 proteins enriched in the SRSF1 samples, independently of the N- or C-terminal location of the biotin-labeling domain. The detected proteins reflect established functions of SRSF1 in pre-mRNA splicing and reveal additional connections to spliceosome proteins, in addition to other recently identified functions. We validated a robust interaction with the spliceosomal RNA helicase DDX23/PRP28 using bimolecular fluorescence complementation and in vitro binding assays. The interaction is mediated by the N-terminal RS-like domain of DDX23 and both RRM1 and the RS domain of SRSF1. During pre-mRNA splicing, DDX23's ATPase activity is essential for the pre-B to B spliceosome complex transition and for release of U1 snRNP from the 5' splice site. We show that the RS-like region of DDX23's N-terminal domain is important for spliceosome incorporation, while larger deletions in this domain alter subnuclear localization. We discuss how the identified interaction of DDX23 with SRSF1 and other SR proteins may be involved in the regulation of these processes.

Mapping protein-protein interactions by mass spectrometry.

Protein-protein interactions (PPIs) are essential for numerous biological activities, including signal transduction, transcription control, and metabolism. They play a pivotal role in the organization and function of the proteome, and their perturbation is associated with various diseases, such as cancer, neurodegeneration, and infectious diseases. Recent advances in mass spectrometry (MS)-based protein interactomics have significantly expanded our understanding of the PPIs in cells, with techniques that continue to improve in terms of sensitivity, and specificity providing new opportunities for the study of PPIs in diverse biological systems. These techniques differ depending on the type of interaction being studied, with each approach having its set of advantages, disadvantages, and applicability. This review highlights recent advances in enrichment methodologies for interactomes before MS analysis and compares their unique features and specifications. It emphasizes prospects for further improvement and their potential applications in advancing our knowledge of PPIs in various biological contexts.

Effect of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer and chronic obstructive pulmonary disease

Objective: To investigate the impact of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) complicated with chronic obstructive pulmonary disease (COPD). Methods: A retrospective cohort study was performed to include 178 patients with Ⅲ-Ⅳ NSCLC complicated with COPD who received at least 2 times of immunotherapy in Xinqiao Hospital of the Army Medical University from January 2019 to August 2021. Baseline peripheral blood inflammatory indicators such as interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α) were collected within 2 weeks before the first treatment, with the last one being on or before February 7, 2022. X-tile software was used to determine the optimal cut-off value of peripheral blood inflammatory indicators. The Cox multivariate regression models were used to analyze the factors affecting progression free survival (PFS) and overall survival (OS). Results: Among the 178 patients, there were 174 males (97.8%) and 4 females (2.2%); the age ranged from 42 to 86 (64.3±8.3) years old.There were 30 cases (16.9%) of immunotherapy monotherapy, 114 cases (64.0%) of immunotherapy combined with chemotherapy, 21 cases (11.8%) of immunotherapy combined with antivascular therapy, and 13 cases (7.3%) of immunotherapy combined with radiotherapy. The median follow-up period was 14.5 months (95%CI: 13.6-15.3 months). The objective response rate (ORR) and disease control rate (DCR) were 44.9% (80/178) and 90.4% (161/178) for the whole group, the median PFS was 14.6 months (95%CI: 11.6-17.6 months), and the median OS was 25.7 months (95%CI: 18.0-33.4 months). The results of Cox multivariate analysis showed that IL-6>9.9 ng/L (HR=5.885, 95%CI: 2.558-13.543, P<0.01), TNF-α>8.8 ng/L (HR=3.213, 95%CI: 1.468-7.032, P=0.003), IL-8>202 ng/L (HR=2.614, 95%CI: 1.054-6.482, P=0.038), systemic immune inflammatory index (SII)>2 003.95 (HR=2.976, 95%CI: 1.647-5.379, P<0.001) were risk factors for PFS, and advanced lung cancer inflammation index (ALI)>171.15 was protective factor for PFS (HR=0.545, 95%CI: 0.344-0.863, P=0.010). IL-6>9.9 ng/L(HR=6.124, 95%CI: 1.950-19.228, P<0.002), lactate dehydrogenase (LDH)>190.7 U/L (HR=2.776, 95%CI: 1.020-7.556, P=0.046), SII>2 003.95 (HR=4.521, 95%CI: 2.241-9.120, P<0.001) were risk factors for OS, and ALI>171.15 was a protective factor for OS (HR=0.434, 95%CI: 0.243-0.778, P=0.005). Conclusion: Baseline high levels of IL-6, TNF-α, IL-8, SII, LDH, and low levels of ALI are risk factors for poor prognosis in patients with advanced NSCLC-COPD receiving immunotherapy.

The effect of gastrointestinal graft-versus-host disease and diarrhea on the pharmacokinetic profile of sotrovimab in hematopoietic stem cell transplant recipients.

Monoclonal antibodies (mAbs) are utilized broadly to treat cancer and infectious diseases, and mAb exposure (serum concentration over time) is one predictor of overall treatment efficacy. Herein, we present findings from a clinical trial evaluating the pharmacokinetics (PK) of the long-acting mAb sotrovimab targeting SARS-CoV-2 in hematopoietic cell transplant (HCT) recipients. All participants received an intravenous infusion of sotrovimab within one week prior to initiating the pre-transplant preparative regimen. The serum concentration of sotrovimab was measured longitudinally for up to 24 weeks post-transplant. Compared to non-HCT participants, we found that mAb clearance was 10% and 26% higher in autologous and allogeneic HCT recipients, respectively. Overall sotrovimab exposure was approximately 15% lower in HCT recipients compared to non-HCT recipients. Exposure was significantly reduced in HCT recipients who developed diarrhea and lower gastrointestinal (GI) graft-versus-host disease (GVHD) post-transplant. These data show that sotrovimab exposure may be reduced in HCT recipients, possibly related to increased GI clearance in patients with GVHD. This phenomenon has implications for dose selection and duration of efficacy with sotrovimab and potentially other mAbs in this vulnerable patient population. Thus, mAb dose regimens developed in non-HCT populations may have to be optimized when applied to HCT populations.