A novel computer-assisted tool for 3D imaging of programmed death-ligand 1 expression in immunofluorescence-stained and optically cleared breast cancer specimens.

BACKGROUND: Programmed death-1 (PD-1) and programmed death-ligand 1 (PD-L1) are the two most common immune checkpoints targeted in triple-negative breast cancer (BC). Refining patient selection for immunotherapy is non-trivial and finding an appropriate digital pathology framework for spatial analysis of theranostic biomarkers for PD-1/PD-L1 inhibitors remains an unmet clinical need. METHODS: We describe a novel computer-assisted tool for three-dimensional (3D) imaging of PD-L1 expression in immunofluorescence-stained and optically cleared BC specimens (n = 20). The proposed 3D framework appeared to be feasible and showed a high overall agreement with traditional, clinical-grade two-dimensional (2D) staining techniques. Additionally, the results obtained for automated immune cell detection and analysis of PD-L1 expression were satisfactory. RESULTS: The spatial distribution of PD-L1 expression was heterogeneous across various BC tissue layers in the 3D space. Notably, there were six cases (30%) wherein PD-L1 expression levels along different layers crossed the 1% threshold for admitting patients to PD-1/PD-L1 inhibitors. The average PD-L1 expression in 3D space was different from that of traditional immunohistochemistry (IHC) in eight cases (40%). Pending further standardization and optimization, we expect that our technology will become a valuable addition for assessing PD-L1 expression in patients with BC. CONCLUSION: Via a single round of immunofluorescence imaging, our approach may provide a considerable improvement in patient stratification for cancer immunotherapy as compared with standard techniques.

Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.

AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), diagnosed using breast biopsy, has great clinical significance. Clinical trials are currently exploring the possibility of active surveillance for low-risk lesions, whereas axillary lymph node staging may be considered during surgical planning for high-risk lesions. We aimed to develop a machine-learning algorithm based on whole-slide images of breast biopsy specimens and clinical information to predict the risk of upstaging to invasive breast cancer after wide excision. METHODS AND RESULTS: Patients diagnosed with ADH/DCIS on breast biopsy were included in this study, comprising 592 (740 slides) and 141 (198 slides) patients in the development and independent testing cohorts, respectively. Histological grading of the lesions was independently evaluated by two pathologists. Clinical information, including biopsy method, lesion size, and Breast Imaging Reporting and Data System (BI-RADS) classification of ultrasound and mammograms, were collected. Deep DCIS consisted of three deep neural networks to evaluate nuclear grade, necrosis, and stromal reactivity. Deep DCIS output comprised five parameters: total patches, lesion extent, Deep Grade, Deep Necrosis, and Deep Stroma. Deep DCIS highly correlated with the pathologists' evaluations of both slide- and patient-level labels. All five parameters of Deep DCIS were significantly associated with upstaging to invasive carcinoma in subsequent wide excisional specimens. Using multivariate logistic regression, Deep DCIS predicted upstaging to invasive carcinoma with an area under the curve (AUC) of 0.81, outperforming pathologists' evaluation (AUC, 0.71 and 0.69). After including clinical and hormone receptor status information, performance further improved (AUC, 0.87). This combined model retained its predictive power in two subgroup analyses: the first subgroup included unequivocal DCIS (excluding cases of ADH and DCIS suspicious for microinvasion) (AUC, 0.83), while the second excluded cases of high-grade DCIS (AUC, 0.81). The model was validated in an independent testing cohort (AUC, 0.81). CONCLUSION: This study demonstrated that deep-learning models can refine histological evaluation of ADH and DCIS on breast biopsies, which may help guide future treatment planning.

Comparative Efficacy of Pharmacological Treatments for Acne Vulgaris: A Network Meta-Analysis of 221 Randomized Controlled Trials.

PURPOSE: Acne is an extremely common skin disease with an estimated global prevalence of 9.4%. We aim to provide comprehensive comparisons of the common pharmacological treatments for acne. METHODS: Randomized controlled trials comparing the efficacy of pharmacological therapies for acne vulgaris in patients of any age and sex and with a treatment duration of >2 weeks were included. PubMed and Embase databases were searched from inception until February 2022. Our prespecified primary end points were mean percentage reduction in total, inflammatory, and noninflammatory lesions. Treatment ranking was determined by P values. RESULTS: There were 210 articles describing 221 trials and 37 interventions included in the analysis. Our primary analysis of percentage reduction in total lesion count had 65,601 patients enrolled. Across all trials, the mean age was 20.4 years. The median duration of treatment was 12 weeks. The median total, inflammatory, and noninflammatory lesion counts were 72, 27, and 44, respectively. The most effective treatment was oral isotretinoin (mean difference [MD] = 48.41; P = 1.00), followed by triple therapy containing a topical antibiotic, a topical retinoid, and benzoyl peroxide (BPO) (MD = 38.15; P = .95) and by triple therapy containing an oral antibiotic, a topical retinoid, and BPO (MD = 34.83; P = .90). For monotherapies, oral or topical antibiotics or topical retinoids have comparable efficacy for inflammatory lesions, while oral or topical antibiotics have less effect on noninflammatory lesions. CONCLUSION: The most effective treatment for acne is oral isotretinoin, followed by triple therapies containing a topical retinoid, BPO, and an antibiotic. We present detailed comparisons of each intervention to serve as a practical database.

Glucose Conferred Irinotecan Chemoresistance through Divergent Actions of Pyruvate and ATP in Cell Death and Proliferation of Colorectal Cancer.

BACKGROUND: Altered glucose metabolism is associated with chemoresistance in colorectal cancer (CRC). This study aimed to illustrate the molecular mechanisms of glucose-mediated chemoresistance against irinotecan, a topoisomerase I inhibitor, focusing on the distinct roles of metabolites such as pyruvate and ATP in modulating cell death and proliferation. METHODS: Four human CRC cell lines, tumorspheres, and mouse xenograft models were treated with various doses of irinotecan in the presence of various concentrations of glucose, pyruvate, or ATP-encapsulated liposomes. RESULTS: In this study, human CRC cell lines treated with irinotecan in high glucose displayed increased cell viability and larger xenograft tumor sizes in mouse models compared to those treated in normal glucose concentrations. Irinotecan induced apoptosis and necroptosis, both mitigated by high glucose. Liposomal ATP prevented irinotecan-induced apoptosis, while it did not affect necroptosis. In contrast, pyruvate attenuated the receptor-interacting protein kinase 1/3-dependent necroptosis via free radical scavenging without modulating apoptotic levels. Regarding the cell cycle, liposomal ATP aggravated the irinotecan-induced G0/G1 shift, whereas pyruvate diminished the G0/G1 shift, showing opposite effects on proliferation. Last, tumorsphere structural damage, an index of solid tumor responsiveness to chemotherapy, was determined. Liposomal ATP increased tumorsphere size while pyruvate prevented the deformation of spheroid mass. CONCLUSIONS: Glucose metabolites confer tumor chemoresistance via multiple modes of action. Glycolytic pyruvate attenuated irinotecan-induced necroptosis and potentiated drug insensitivity by shifting cells from a proliferative to a quiescent state. On the other hand, ATP decreased irinotecan-induced apoptosis and promoted active cell proliferation, contributing to tumor recurrence. Our findings challenged the traditional view of ATP as the main factor for irinotecan chemoresistance and provided novel insights of pyruvate acting as an antioxidant responsible for drug insensitivity, which may shed light on the development of new therapies against recalcitrant cancers.

Unusual manifestations of adrenal insufficiency: A case report of hypopituitarism and Well's syndrome after apoplexy of a silent pituitary gonadotropic adenoma.

RATIONALE: Pituitary apoplexy occurs in about 8% of those with nonfunctioning pituitary adenoma. Subsequent hormone deficiency, especially corticotropic deficiency, is the most common finding. We describe the unusual manifestations of adrenal insufficiency that are usually overlooked in such cases, with the aim of raising awareness of this disease. PATIENT CONCERNS: A 53-year-old male with a history of hyponatremia came to our hospital with intermittent fever and generalized pruritic skin rash. He also reported general weakness, abdominal pain, poor appetite, and severe retroorbital headache. DIAGNOSES: Laboratory data revealed hypereosinophilia, hypotonic hyponatremia, and hypopituitarism, including secondary adrenal insufficiency. Sellar magnetic resonance imaging revealed a pituitary macroadenoma, 2 cm in height, with mild displacement of the optic chiasm. Pathologic report and immunohistochemical stains of surgical specimen showed pituitary gonadotropic adenoma with apoplexy. INTERVENTIONS: Transsphenoidal removal of the pituitary adenoma was performed. The patient received intravenous hydrocortisone then oral form cortisone acetate regularly. OUTCOMES: His symptoms and laboratory data recovered after the operation and medical treatment. LESSONS: This case highlights that eosinophilia, pruritic skin rash and fever can be manifestations of adrenal insufficiency, and that they may initially be regarded as cellulitis.

Glucose Metabolites Exert Opposing Roles in Tumor Chemoresistance.

Reprogrammed glucose metabolism and increased glycolysis have been implicated in tumor chemoresistance. The aim was to investigate the distinct roles of the glucose metabolites pyruvate and ATP in chemoresistance mechanisms, including cell death and proliferation. Our data showed higher glucose transporters in colorectal cancer (CRC) from non-responsive patients than those responsive to chemotherapy. Human CRC cell lines exposed to 5-fluorouracil (5-FU) displayed elevated cell viability and larger tumors in xenograft mouse models if cultured in high-glucose medium. Glucose conferred resistance to 5-FU-induced necroptosis via pyruvate scavenging of mitochondrial free radicals, whereas ATP replenishment had no effect on cell death. Glucose attenuated the 5-FU-induced G0/G1 shift but not the S phase arrest. Opposing effects were observed by glucose metabolites; ATP increased while pyruvate decreased the G0/G1 shift. Lastly, 5-FU-induced tumor spheroid destruction was prevented by glucose and pyruvate, but not by ATP. Our finding argues against ATP as the main effector for glucose-mediated chemoresistance and supports a key role of glycolytic pyruvate as an antioxidant for dual modes of action: necroptosis reduction and a cell cycle shift to a quiescent state.

Short-course versus long-course antibiotics in prosthetic joint infections: a systematic review and meta-analysis of one randomized controlled trial plus nine observational studies.

BACKGROUND: Prosthetic joint infections (PJIs) often require long-course antibiotic therapy. However, recent studies argue against the current practice and raise concerns such as the development of antibiotic resistance, side effects of medications and medical costs. OBJECTIVES: To review and compare the outcomes of short-course and long-course antibiotics in PJIs. METHODS: We conducted a systemic review and meta-analysis using a predefined search term in PubMed and EMBASE databases. Studies that met the inclusion criteria from inception to June 2018 were included. The quality of the included studies was assessed. RESULTS: A total of 10 articles and 856 patients were analysed, comprising 9 observational studies and 1 randomized controlled trial. Our meta-analysis showed no significant difference between short-course and long-course antibiotics (relative risk = 0.87, 95% CI = 0.62-1.22). Additionally, the older the studied group was, the more short-course antibiotics were favoured. CONCLUSIONS: When treating PJI patients following debridement, antibiotics and implant retention, an 8 week course of antibiotic therapy for total hip arthroplasty and a 75 day course for total knee arthroplasty may be a safe approach. For two-stage exchange, a shorter duration of antibiotic treatment during implant-free periods is also generally safe with the usage of antibiotic-loaded cement spacers.