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1.
J Pathol ; 260(4): 376-389, 2023 08.
Article in English | MEDLINE | ID: mdl-37230111

ABSTRACT

The suggestion that the systemic immune response in lymph nodes (LNs) conveys prognostic value for triple-negative breast cancer (TNBC) patients has not previously been investigated in large cohorts. We used a deep learning (DL) framework to quantify morphological features in haematoxylin and eosin-stained LNs on digitised whole slide images. From 345 breast cancer patients, 5,228 axillary LNs, cancer-free and involved, were assessed. Generalisable multiscale DL frameworks were developed to capture and quantify germinal centres (GCs) and sinuses. Cox regression proportional hazard models tested the association between smuLymphNet-captured GC and sinus quantifications and distant metastasis-free survival (DMFS). smuLymphNet achieved a Dice coefficient of 0.86 and 0.74 for capturing GCs and sinuses, respectively, and was comparable to an interpathologist Dice coefficient of 0.66 (GC) and 0.60 (sinus). smuLymphNet-captured sinuses were increased in LNs harbouring GCs (p < 0.001). smuLymphNet-captured GCs retained clinical relevance in LN-positive TNBC patients whose cancer-free LNs had on average ≥2 GCs, had longer DMFS (hazard ratio [HR] = 0.28, p = 0.02) and extended GCs' prognostic value to LN-negative TNBC patients (HR = 0.14, p = 0.002). Enlarged smuLymphNet-captured sinuses in involved LNs were associated with superior DMFS in LN-positive TNBC patients in a cohort from Guy's Hospital (multivariate HR = 0.39, p = 0.039) and with distant recurrence-free survival in 95 LN-positive TNBC patients of the Dutch-N4plus trial (HR = 0.44, p = 0.024). Heuristic scoring of subcapsular sinuses in LNs of LN-positive Tianjin TNBC patients (n = 85) cross-validated the association of enlarged sinuses with shorter DMFS (involved LNs: HR = 0.33, p = 0.029 and cancer-free LNs: HR = 0.21 p = 0.01). Morphological LN features reflective of cancer-associated responses are robustly quantifiable by smuLymphNet. Our findings further strengthen the value of assessment of LN properties beyond the detection of metastatic deposits for prognostication of TNBC patients. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.


Subject(s)
Deep Learning , Triple Negative Breast Neoplasms , Humans , Lymph Nodes/pathology , Lymphatic Metastasis/pathology , Neoplasm Staging , Prognosis , Retrospective Studies , Triple Negative Breast Neoplasms/therapy , Triple Negative Breast Neoplasms/pathology , Female , Clinical Trials as Topic
2.
Food Sci Technol Int ; 24(7): 627-636, 2018 Oct.
Article in English | MEDLINE | ID: mdl-29911411

ABSTRACT

Wheat cultivars were treated by four different treatments and their flours were obtained after milling. The quality of the obtained wheat flours was determined using various quality parameters and it was observed that premilling treatments significantly affect the gluten content, wet and dry gluten yield, gluten index, and water absorption capacity of gluten, respectively. Acid-treated wheat flours of all the four wheat varieties (C-306, Raj-3765, PBW-343, and KW-11) showed lower gluten content and quality, whereas conditioning and yeast treatment improve gluten quality as well as its content. Flours obtained after premilling treatments were also utilized for noodle preparation and their sensory and quality parameters were also determined. Also, it was observed that yeast treatment and conditioning improved the noodle quality, whereas acid treatment deteriorates the noodle quality in comparison to tempering. The cultivar PBW-343 produced the best quality noodle among four wheat cultivars. In different milling treatments acid-treated flours of all cultivars showed lowest sensory and quality characteristics, while yeast treatment showed highest.


Subject(s)
Flour/analysis , Food Handling/methods , Food Quality , Glutens/isolation & purification , Triticum/chemistry , Cooking , Elasticity , Glutens/analysis , Humans , Sensation , Species Specificity , Sulfuric Acids , Tensile Strength , Water/analysis
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