Histological Grading System Research Articles

Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method

Background and AimsInflammatory bowel disease (IBD) is a global disease that is evolving with increasing incidence. However, there are few works on computationally assisted diagnosis of IBD based on pathological images. Therefore, based on the UK and Chinese IBD diagnostic guidelines, our study established an artificial intelligence-assisted diagnostic system for histologic grading of inflammatory activity in ulcerative colitis (UC). MethodsWe proposed an efficient deep-learning (DL) method for grading inflammatory activity in whole-slide images (WSIs) of UC pathology. Our model was constructed using 603 UC WSIs from Nanjing Drum Tower Hospital for model train set and internal test set. We collected 212 UC WSIs from Zhujiang Hospital as an external test set. Initially, the pre-trained ResNet50 model on the ImageNet dataset was employed to extract image patch features from UC patients. Subsequently, a multi-instance learning (MIL) approach with embedded self-attention was utilized to aggregate tissue image patch features, representing the entire WSI. Finally, the model was trained based on the aggregated features and WSI annotations provided by senior gastrointestinal pathologists to predict the level of inflammatory activity in UC WSIs. ResultsIn the task of distinguishing the presence or absence of inflammatory activity, the Area Under Curve (AUC) value in the internal test set is 0.863 (95% confidence interval [CI] 0.829, 0.898), with a sensitivity of 0.913 (95% [CI] 0.866, 0.961), and specificity of 0.816 (95% [CI] 0.771, 0.861). The AUC in the external test set is 0.947 (95% confidence interval [CI] 0.939, 0.955), with a sensitivity of 0.889 (905% [CI] 0.837, 0.940), and specificity of 0.858 (95% [CI] 0.777, 0.939). For distinguishing different levels of inflammatory activity in UC, the average Macro-AUC in the internal test set and the external test set are 0.827 (95% [CI] 0.803, 0.850) and 0.908 (95% [CI] 0.882, 0.935). the average Micro-AUC in the internal test set and the external test set are 0.816 (95% [CI] 0.792, 0.840) and 0.898 (95% [CI] 0.869, 0.926). ConclusionsComparative analysis with diagnoses made by pathologists at different expertise levels revealed that the algorithm reached a proficiency comparable to the pathologist with 5 years of experience. Furthermore, our algorithm performed superior to other MIL algorithms.

New histological risk grading system for prediction of lymph node metastasis in patients with penile cancer

AbstractInguinal lymph node surgery is a standard treatment for penile cancer patients with intermediate or high risk for lymph node metastasis (LNM) according to European Association of Urology (EAU) risk grading. We are proposing a more objective histological prognostic grading system for inguinal LNM in these patients. We assessed worst pattern of invasion, lymphocytic host response, lymphovascular invasion, and perineural invasion in a population-based cohort of 306 penile cancer patients. Patients were classified into low, intermediate, and high risk for inguinal LNM. There was a significant association both between risk groups and pT stage (p < 0.001) and between risk groups and LNM. Univariate logistic regression showed 25.43 times higher odds of LNM for patients in the intermediate risk group compared with the low risk group (odds ratio (OR) 25.43; 95% confidence interval (CI): 5.94–108.97) and a 177.13 times higher odds in the high risk group compared to the low risk group (OR 177.13; 95% CI: 40.09–782.51). When comparing our histological risk grading with the EAU grading, we found a higher sensitivity, of 51.28% (95% CI: 45.68–56.88) versus 37.09% (95% CI: 31.68–42.50), as well as a higher area under the curve (0.86; 95% CI: 0.81–0.89; versus 0.65; 95% CI: 0.58–0.71) with our grading system. While our grading classified 111 patients as low risk, only 31 were considered low risk for LNM according to the EAU risk classification. The new histological risk grading system shows a higher sensitivity and includes a higher number of patients in the low risk group in whom lymph node surgery could be avoided, reducing morbidity and costs.

Peritumoral radiomics increases the efficiency of classification of pure ground-glass lung nodules: a multicenter study

PurposeWe aimed to evaluate the efficiency of computed tomography (CT) radiomic features extracted from gross tumor volume (GTV) and peritumoral volumes (PTV) of 5, 10, and 15 mm to identify the tumor grades corresponding to the new histological grading system proposed in 2020 by the Pathology Committee of the International Association for the Study of Lung Cancer (IASLC).MethodsA total of 151 lung adenocarcinomas manifesting as pure ground-glass lung nodules (pGGNs) were included in this randomized multicenter retrospective study. Four radiomic models were constructed from GTV and GTV + 5/10/15-mm PTV, respectively, and compared. The diagnostic performance of the different models was evaluated using receiver operating characteristic curve analysisResultsThe pGGNs were classified into grade 1 (117), 2 (34), and 3 (0), according to the IASLC grading system. In all four radiomic models, pGGNs of grade 2 had significantly higher radiomic scores than those of grade 1 (P < 0.05). The AUC of the GTV and GTV + 5/10/15-mm PTV were 0.869, 0.910, 0.951, and 0.872 in the training cohort and 0.700, 0.715, 0.745, and 0.724 in the validation cohort, respectively.ConclusionsThe radiomic features we extracted from the GTV and PTV of pGGNs could effectively be used to differentiate grade-1 and grade-2 tumors. In particular, the radiomic features from the PTV increased the efficiency of the diagnostic model, with GTV + 10 mm PTV exhibiting the highest efficacy.

IASLC grading system predicts distant metastases for resected lung adenocarcinoma

AimsThe International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in...

Assessing the Histological Malignancy Grade of Olfactory Neuroblastoma Using the Apparent Diffusion Coefficient Histogram Analysis.

Introduction Olfactory neuroblastoma (ONB) is a rare malignant tumor of the upper nasal cavity. The Hyams classification is an important histological grading system for diagnosing recurrence and predicting survival in ONB. This study aimed to evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis in distinguishing between high-grade and low-grade ONB based on the Hyams classification system. Methods This retrospective study included 17 patients (11 males, six females; mean age 54 years, range 29-84) diagnosed with ONB who underwent pretreatment magnetic resonance imaging (MRI) including diffusion-weighted imaging between December 2017 and September 2022. Two board-certified radiologists outlined the regions of interest on ADC maps of the tumors. Mean, minimum, maximum ADC, standard deviation, skewness, kurtosis, and entropy were calculated from the ADC histograms. Patients were divided into low-grade (Hyams I-II) and high-grade (Hyams III-IV) groups based on histopathological evaluation by a board-certified pathologist. ADC histogram parameters were compared between the two groups using Mann-Whitney U tests. Two-sided p-values of < 0.05 were considered statistically significant. Results The study included 10 low-grade (two grade I, eight grade II) and seven high-grade (five grade III, one grade III/IV, one grade IV) ONB cases. Comparison between the low-grade and high-grade groups showed no statistically significant differences in any of the ADC histogram parameters analyzed: mean ADC (median 1.02 vs 0.95; p = 0.591), minimum ADC (0.84 vs 0.78; p = 0.494), maximum ADC (1.06 vs 1.19; p = 0.625), standard deviation (0.09 vs 0.14; p = 0.433), skewness (-0.48 vs -0.75; p = 0.133), kurtosis (2.79 vs 3.12; p = 0.161), and entropy (4.69 vs 5.06; p = 0.315). Conclusion This study demonstrated that ADC histogram analysis was unable to differentiate between high-grade and low-grade ONB based on the Hyams classification. The findings suggest that preoperative grading of ONB malignancy using ADC histogram parameters is challenging. Thus, grading based on preoperative imaging evaluation is difficult.

The effect of derum (bark of Juglans regia tree) extract on oral mucosa: An in vivo study based on epithelial atypia in rabbit model

Background and objectivesDerum, the bark of walnut tree (Juglans regia) has been used as a traditional tooth cleanser and chewed for its ability to bestow purple color to oral mucosa, tongue and lips Studies have shown that derum extract could affect oral epithelium after long term exposure, causing dysplasia. The aim of this in-vivo study was to evaluate the degree of epithelial dysplasia caused by varying durations and frequencies of topical derum application on oral mucosa of rabbits. Materials and MethodsFollowing ethical approval, derum extract was applied to the buccal vestibule of New Zealand white rabbits over three different periods (60 days, 120 days, 180 days) and two different protocols were used (daily application and once every 3 days). Accordingly, the animals were divided into four groups (A – daily derum application/B – derum applied once in 3 days/C – Positive control and acetone applied every alternate day/D – negative control), and three batches (I – 60 days/II – 120 days/III – 180 days). The animals were sacrificed, and oral biopsies prepared and examined under light microscope. The magnitude of epithelial changes was evaluated using epithelial atypia index (EAI) based on Smith and Pindborg histological grading system (1969) for epithelial dysplasia. ResultsMild dysplastic changes were detected in animals treated with derum extract regardless of the period of application. Similar results were noted among positive control group, and highest score was recorded in group A followed by group B with high tendency towards long-term derum application. Moderate changes were encountered only in group A that received derum for 180 days. Statistically, long-term derum application (180 days / Batch III in groups A and B), irrespective of the frequency of application, resulted in significantly higher mean EAI scores than all other groups or batches. ConclusionBased on this study, prolonged and frequent use of derum can induce dysplastic changes in rabbit oral mucosa, ranging from mild to moderate dysplasia. Further studies with extended times of exposure of derum to oral mucosa are recommended to document these adverse effects as an evidence base.

Transcriptomic Differences in Medullary Thyroid Carcinoma According to Grade

Medullary thyroid carcinoma (MTC) is a rare cancer derived from neuroendocrine C-cells of the thyroid. In contrast to other neuroendocrine tumors, a histological grading system was lacking until recently. A novel two-tier grading system based on the presence of high proliferation or necrosis is associated with prognosis. Transcriptomic analysis was conducted on 21 MTCs, including 9 high-grade tumors, with known mutational status, using the NanoString Tumor Signaling 360 Panel. This analysis, covering 760 genes, revealed upregulation of the genes EGLN3, EXO1, UBE2T, UBE2C, FOXM1, CENPA, DLL3, CCNA2, SOX2, KIF23, and CDCA5 in high-grade MTCs. Major pathways differentially expressed between high-grade and low-grade MTCs were DNA damage repair, p53 signaling, cell cycle, apoptosis, and Myc signaling. Validation through qRT-PCR in 30 MTCs demonstrated upregulation of ASCL1, DLL3, and SOX2 in high-grade MTCs, a gene signature akin to small-cell lung carcinoma, molecular subgroup A. Subsequently, DLL3 expression was validated by immunohistochemistry. MTCs with DLL3 overexpression (defined as ≥ 50% of positive tumor cells) were associated with significantly lower disease-free survival (p = 0.041) and overall survival (p = 0.01). Moreover, MTCs with desmoplasia had a significantly increased expression of DLL3. Our data supports the idea that DLL3 should be further explored as a predictor of aggressive disease and poor outcomes in MTC.

Mucoepidermoid carcinoma: A comparative analysis of histological grading systems

: Salivary gland carcinomas comprise of only 3-5% of all head and neck malignancies. Mucoepidermoid carcinoma (MEC) is the most common malignant salivary gland tumor. The morphologic diversity of MEC can pose diagnostic challenges hence, various histological grading systems have been proposed based on the quantitative and qualitative analysis. This proves to be greatly consequential in the management and prognosis of patients with MEC.To compare histologic grading methods in MEC of major &amp; minor salivary glands.20 histopathologically diagnosed cases of MEC (10 each major &amp; minor salivary gland) will be analysed using following methods: Qualitative Method: 1) Modified Healey 2) Memorial Sloan-Kettering Cancer Center method. Quantitative method: 1) Armed force Institute of Pathology (AFIP) 2) Brandwein method Histological findings were evaluated. In our study AFIP grading system, 50% Cases were classified as low grade, 35% as intermediate grade and 15% as high graded. According to Brandwein grading system20% of cases were categorized as low, 35% cases as intermediate, 45% cases as high grade MEC. Modified Healey grading system of MEC showed 50%, 40%, 10% cases as low, intermediate and high grade MEC respectively. MSKCC grading system revealed as 55%, 30% and 15% cases as low, intermediate and high grade MEC respectively. Our finding indicated that MSKCC grading system was the most favourable histological grading system as percentage of agreement found to be 85%.Careful microscopic examination is the most important parameter in the grading of MEC. This meticulous microscopic examination emerges as the cornerstone in grading MEC. Both MSKCC and Modified Healey grading methods exhibits effectiveness in evaluating MEC. Our finding indicated that Memorial Slon Kettering Cancer Center (MSKCC) was the most favourable histological grading system as percentage of agreement found to be 85%. However, further longer studies are imperative to substantiate this finding and for establish of universally accepted grading system for Mucoepidermoid carcinoma.

Histopathological and Immunohistochemical Study of Acute Tubular Injury in Native Kidney Biopsy.

Acute tubular injury (ATI) is a common diagnosis on renal biopsy. There are no accepted parameters to assess the severity of injury or predict recovery. An objective histologic grading system would be of immense value in clinical practice. The macrophage response to injury involves the MI phenotype which is proinflammatory and M2 which is prorepair. The study of these macrophages could aid in studying the severity and the recovery. A total of 58 native kidney biopsies with features of ATI and a minimum follow-up of 12 weeks were graded into mild, moderate and severe, using scores for simplification, sloughing, and mitosis. These scores and the density of macrophages stained with CD68, CD163, and HLA-DR were correlated with serum creatinine at presentation and with recovery. The effect of chronicity index as measured by glomerulosclerosis, tubular atrophy, and interstitial fibrosis and of co-morbidities of age, hypertension, and diabetes on the recovery pattern was also studied. All three histologic scores and the grades of ATI showed positive correlation with the serum creatinine level. The densities of CD 68 + and CD163 + macrophages also showed a significant correlation with serum creatinine level. However, none of these these histological features nor the macrophage densities predicted clinical recovery. Age >60 years, hypertension, diabetes, and chronicity score on biopsy were indicators of partial and delayed recovery. The histopathological semiquantitative scoring system can be used routinely to grade ATI. However none of the studied parameters predicted recovery.

Clinicopathological and molecular characterization of resected lung adenocarcinoma: Correlations with histopathological grading systems in Chinese patients

PurposeDriver mutations inform lung adenocarcinoma (LUAD) targeted therapy. Association of histopathological attributes and molecular profiles facilitates clinically viable testing platforms. We assessed correlations between LUAD clinicopathological features, mutational landscapes, and two grading systems among Chinese cases. Methods79 Chinese LUAD patients undergoing resection were subjected to targeted sequencing. 68 were invasive nonmucinous adenocarcinoma (INMA), graded via: predominant histologic pattern-based grading system (P-GS) or novel IASLC grading system (I-GS). Driver mutation distributions were appraised and correlated with clinical and pathological data. ResultsCompared to INMA, non-INMA exhibited smaller, well-differentiated tumors with higher mucin content. INMA grade correlated with size, lymph invasion (P-GS), and driver/EGFR mutations. Mutational spectra varied markedly between grades, with EGFR p.L858R and exon 19 deletion mutations predominating in lower grades; while high-grade P-GS tumors often harbored EGFR copy number variants and complex alterations alongside wild-type cases. I-GS upgrade of P-GS grade 2 to grade 3 was underpinned by ≥20 % high-grade regions bearing p.L858R or ALK fusions. Both systems defined tumors of distinctive phenotypic attributes and molecular genotypes. ConclusionsINMA represent larger, mucin-poor, molecularly heterogeneous LUAD with divergent grade-specific mutation profiles. Stronger predictor of clinicopathological attributes and driver mutations, P-GS stratification offers greater accuracy for molecular testing. A small panel encompassing EGFR and ALK captures the majority of P-GS grade 1/2 mutations whereas expanded panels are optimal for grade 3.

Integrating IASLC grading and radiomics for predicting postoperative outcomes in stage IA invasive lung adenocarcinoma.

The International Association for the Study of Lung Cancer (IASLC) Pathology Committee introduced a histologic grading system for invasive lung adenocarcinoma (LUAD) in 2020. The IASLC grading system, hinging on the evaluation of predominant and high-grade histologic patterns, has proven to be practical and prognostic for invasive LUAD. However, there are still limitations in evaluating the prognosis of stage IA LUAD. Radiomics may serve as a valuable complement. To establish a model that integrates IASLC grading and radiomics, aimed at predicting the prognosis of stage IA LUAD. We conducted a retrospective analysis of 628 patients diagnosed with stage IA LUAD who underwent surgical resection between January 2015 and December 2018 at our institution. The patients were randomly divided into the training set (n=439) and testing set (n=189) at a ratio of 7:3. Overall survival (OS) and disease-free survival (DFS) were taken as the end points. Radiomics features were obtained by PyRadiomics. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO). The prediction models for OS and DFS were developed using multivariate Cox regression analysis, and the models were visualized through nomogram plots. The model's performance was evaluated using area under the curves (AUC), concordance index (C-index), calibration curves, and survival decision curve analysis (DCA). In total, nine radiomics features were selected for the OS prediction model, and 15 radiomics features were selected for the DFS prediction model. Patients with high radiomics scores were associated with a worse prognosis (p<0.001). We built separate prediction models using radiomics or IASLC alone, as well as a combined prediction model. In the prediction of OS, we observed that the combined model (C-index: 0.812±0.024, 3 years AUC: 0.692, 5 years AUC: 0.792) achieved superior predictive performance than the radiomics (C-index: 0.743±0.038, 3 years AUC: 0.633, 5 years AUC: 0.768) and IASLC grading (C-index: 0.765±0.042, 3 years AUC: 0.658, 5 years AUC: 0.743) models alone. Similar results were obtained in the models for DFS. The combination of radiomics and IASLC pathological grading proves to be an effective approach for predicting the prognosis of stage IA LUAD. This has substantial clinical relevance in guiding treatment decisions for early-stage LUAD.

The 2-tier grading system identifies canine cutaneous and/or subcutaneous mast cell tumors with aggressive biological behavior regardless of growth model.

Histologic grading of canine cutaneous mast cell tumors (cMCTs) has prognostic and therapeutic implications, yet validation for subcutaneous MCTs (scMCTs) is lacking. For scMCTs with or without dermal invasion, determining their biological behavior remains poorly standardized and sometimes sparks controversy. This prospective study aimed to assess the prognostic utility of the 2-tier histologic grading system in MCTs with different growth models (GMs) and explore the prognostic impact of the GM itself. We assessed 6 histologic GM categories: solely cMCT (C-SC0), cMCT with superficial (C-SC1) or deep subcutaneous (C-SC2) involvement, solely scMCT (SC-C0), and scMCT with deep (SC-C1) or superficial (SC-C2) infiltration of the dermis. Ninety-one MCTs from 76 dogs undergoing excision and regional/sentinel lymphadenectomy were examined. GM classification identified 11 (12%) C-SC0 tumors, 12 (13%) C-SC1, 15 (16%) C-SC2, 21 (23%) SC-C0, 15 (16%) SC-C1, and 17 (19%) SC-C2. Mitotic count, 2-tier grade, nodal involvement, surgical margins, and outcome were stratified according to GM. scMCTs lacking dermal invasion, historically associated with a benign clinical course, had a poor prognosis in 10% of cases. cMCTs exhibiting deep subcutaneous involvement included the largest percentage of high-grade tumors (33%), had the highest occurrence of overt nodal metastases (33%), and had the lowest 1-year survival rate (86%). Histologic grade was confirmed as a relevant prognostic factor, surpassing nodal involvement and histologic margin status. The 2-tier histologic grading enabled the identification of all MCTs with aggressive biological behavior, regardless of their cutaneous or subcutaneous location.

Proposal for a new histological grading system for canine oral melanocytic tumoUrs

Proposal for a new histological grading system for canine oral melanocytic tumoUrs

Abstract 3782: IASLC grading system predict distant metastases for resected lung adenocarcinoma

Abstract The International Association for the Study of Lung Cancer (IASLC) proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, whether this new grading system is able to predict distant metastases in LUAD patients has not been evaluated. This study investigated the feasibility of using this grading system to predict the occurrence of brain and bone metastases in patients with resectable LUAD which identifies patients who have a high probability of developing distant metastases after surgery. We collected clinical information and pathological reports of 179 early stage LUAD patients who underwent resection during 2008 to 2015 from Wake Forest Comprehensive Cancer Center. All patients were followed up for 5 years and both bone and brain metastasis-free survival were calculated. Tumor grading of all samples was evaluated by both IASLC grading and predominant pattern-based grading systems. The ability of predicting distant metastases using IASLC grading and tumor stage were examined by receiver operating characteristic curves (ROC). 28 out of 179 patients developed distant metastases in five years with a median overall survival of 60 months for metastasis-free patients and 38.9 for patients with distant metastasis. Compared to predominant pattern-based grading system, IASLC grading system showed a stronger correlation with distant metastasis incidence. Complex gland pattern is enriched in patients who developed bone and brain metastases compared to metastasis-free patients. IASLC grading system also showed a superior prediction power of distant metastasis compared to tumor stage with area under curve (AUC) of 0.69 for brain metastasis and 0.71 for bone metastasis. IASLC grading system is capable of predicting the incidence of distant metastasis among early-stage invasive LUAD patients. Citation Format: Yuezhu Wang, Margaret R. Smith, Yin Liu, Mary E. Green, Omer A. Hassan, Alexandra M. Balmaceda, Tammy Sexton, Wencheng Li, Fei Xing. IASLC grading system predict distant metastases for resected lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3782.

Expression Profiling of EMT Transcriptional Regulators ZEB1 and ZEB2 in Different Histopathological Grades of Oral Squamous Cell Carcinoma Patients.

Pakistan has a high burden of oral cancers, with a prevalence rate of around 9%. Oral Squamous Cell Carcinoma (OSCC) accounts for about 90% of oral cancer cases. Epithelial to Mesenchymal Transition (EMT) gets highly stimulated in tumor cells by adopting subsequent malignant features of highly invasive cancer populations. Zinc Finger E-Box binding factors, ZEB1 and ZEB2, are regulatory proteins that promote EMT by suppressing the adherent ability of cells transforming into highly motile cancerous cells. The present study aimed to analyze the expression of EMT regulators, ZEB1 and ZEB2, and their association with the clinicopathological features in different grades of OSCC patients. Tissue samples were collected for both case and control groups from the recruited study participants. Cancer tissues (cases) were collected from the confirmed OSCC patients, and healthy tissues (controls) were collected from third-molar dental extraction patients. The study participants were recruited with informed consent and brief demographic and clinical characteristics. The case group was further segregated with respect to the histological cancer grading system into well-differentiated (WD), moderately differentiated (MD), and poorly differentiated (PD) squamous cell carcinoma (SCC) groups. RNA was extracted from the tissue samples for expression profiling of ZEB1 and ZEB2 genes through quantitative real-time PCR (qRT-PCR). All of the recruited participants had a mean age of 46.55 ± 11.7 (years), with most of them belonging to Urdu speaking ethnic group and were married. The BMI (kg/m2) of the healthy participants was in the normal range (18-22 kg/m2). However, BMI was found to be reduced with the proliferation in the pathological state of cancer. The oral hygiene of patients was better than the healthy participants, possibly due to the strict oral hygiene practice concerns of consultants. Every recruited OSCC patient had one or multiple addiction habits for more than a year. Patients reported health frailty (46.6%), unhealed mouth sores (40%), swallowing difficulties and white/reddish marks (80%), and restricted mouth opening (64.4%). Furthermore, 82.2% of the recruited patients observed symptoms within 1-12 months, and buccal mucosa was the most exposed tumor site among 55.6% of the patients. Expression profiling of EMT regulators showed gradual over-expressions of ZEB1 (8, 20, and 42 folds) and ZEB2 (4, 10, and 18 folds) in respective histological cancer grades. High expressions of ZEBs have been significantly associated with cancer progression and poor health. However, no association was found between OSCC with other clinicopathological features when compared to healthy controls.

Cytologic risk stratification of medullary thyroid carcinoma: Does it make the grade?

Recent efforts to develop a histologic grading system for medullary thyroid carcinoma is gaining broad acceptance. How well do these grading parameters translate to cytology specimens?

PD-L1 expression in resected lung adenocarcinoma: prevalence and prognostic significance in relation to the IASLC grading system.

Programmed death-ligand 1 (PD-L1) expression is a predictive biomarker for adjuvant immunotherapy and has been linked to poor differentiation in lung adenocarcinoma. However, its prevalence and prognostic role in the context of the novel histologic grade has not been evaluated. We analysed a cohort of 1233 patients with resected lung adenocarcinoma where PD-L1 immunohistochemistry (22C3 assay) was reflexively tested. Tumour PD-L1 expression was correlated with the new standardized International Association for the Study of Lung Cancer (IASLC) histologic grading system (G1, G2, and G3). Clinicopathologic features including patient outcome were analysed. PD-L1 was positive (≥1%) in 7.0%, 23.5%, and 63.0% of G1, G2, and G3 tumours, respectively. PD-L1 positivity was significantly associated with male sex, smoking, and less sublobar resection among patients with G2 tumours, but this association was less pronounced in those with G3 tumours. PD-L1 was an independent risk factor for recurrence (adjusted hazard ratio [HR] = 3.25, 95% confidence intervals [CI] = 1.93-5.48, P < 0.001) and death (adjusted HR = 2.69, 95% CI = 1.13-6.40, P = 0.026) in the G2 group, but not in the G3 group (adjusted HR for recurrence = 0.94, 95% CI = 0.64-1.40, P = 0.778). PD-L1 expression differs substantially across IASLC grades and identifies aggressive tumours within the G2 subgroup. This knowledge may be used for both prognostication and designing future studies on adjuvant immunotherapy.

Upregulation of miRNA-196a and miRNA-196b correlates with Bryne’s prognostic score in oral squamous cell carcinoma

BackgroundmicroRNA(miRNA)-196a and miRNA-196b expression has been found to be dysregulated and involved in tumorigenesis and tumor progression in array of cancers through different targets. The role of these miRNAs together in clinical application is not always consistent and, its prognostic value in oral squamous cell carcinoma (OSCC) is still elusive. This study was performed to investigate the correlation of these miRNAs expression with histological grades of OSCC according to Bryne's histological grading system, to predict prognosis and to evaluate their relationship with clinico-pathological data. MethodsReal-time quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) was done to evaluate the expression levels of miRNA-196a and miRNA-196b in 75 pairs of OSCC tissue matched with adjacent normal mucosa, used as a control. ResultsmiRNA-196a and 196b expression in OSCC was significantly higher than that in corresponding adjacent normal tissues (p > 0.001). Also, a significant differential correlation was found in between the expression levels of these two miRNAs (Pearson correlation test r = 0.676, p-value<0.0001). The increased expression of these miRNAs was more frequently observed in OSCC tissues with advanced clinical and pathological TNM stages (IVa and IVb, pIVb respectively, p-value<0.0001). Significant correlation was found between miRNA-196a upregulation and moderate prognostic score (p-value<0.0001) in comparison with good and poor prognostic score of histological grades of OSCC. Sensitivity and specificity for miRNA-196a were 95 % and 85 %, respectively (AUC = 1, 95 % CI = 0.617–0.850; p 0.001), while for miRNA-196b were 94 % and 86 %, respectively (AUC = 0.808, 95 % CI = 0.701–0.916; p0.0001). ConclusionsThese findings suggest that the increased expression of miRNA-196a and 196b may play an important role in tumor progression in OSCC. miRNA-196a might be a useful marker for predicting the clinical outcome of OSCC, especially for advanced stages. In conclusion, our data demonstrate for the first time that these miRNAs may serve as a potent prognostic marker for tumor progression. We further highlight miRNA-196a and miRNA-196b as a promising predictor of prognostic assessment in OSCC.

Clinical implication of the 2020 International Association for the Study of Lung Cancer histologic grading in surgically resected pathologic stage 1 lung adenocarcinomas: Prognostic value and association with computed tomography characteristics

ObjectivesTo investigate the incremental prognostic value of the 2020 International Association for the Study of Lung Cancer (IASLC) histologic grading system over traditional prognosticators in surgically resected pathologic stage 1 lung adenocarcinomas and to identify the clinical and radiologic characteristics of lung adenocarcinomas reclassified by the 2020 histologic grading system. Materials and methodsWe retrospectively enrolled 356 patients who underwent surgery for pathologic stage 1 adenocarcinoma between January 2016 and December 2017. The histologic grading was classified according to the predominant histologic subtype (conventional system) and the updated 2020 IASLC grading system. The clinical and computed tomography (CT) characteristics were compared according to the reclassification of the updated system. The performance of prognostic models for recurrence-free survival based on the combination of pathologic tumor size, histologic grade, and CT-based information was compared using the c-index. ResultsPostoperative recurrence occurred in 6.7% of patients during the follow-up period (mean, 1589.2 ± 406.7 days). Fifty-nine of 244 (24.2%) tumors with intermediate grades in the conventional system were reclassified as grade 3 with the updated grading system. They showed significantly larger solid proportions and higher percentages of pure solid nodules on CT compared to tumors without reclassification (n = 185) (P < 0.05). Prognostic prediction models based on pathology tumor size and histologic grades had significantly higher c-indices (0.754–0.803) compared to the model based on pathologic tumor size only (c-index:0.723, P < 0.05). ConclusionThe 2020 IASLC histologic grading system has significant incremental prognostic value over the pathologic stage in surgically resected pathologic stage 1 lung adenocarcinoma. Reclassified lung adenocarcinomas using the updated grading system have a larger solid proportion and a higher percentage of pure solid nodules on CT.

Head and neck mucoepidermoid carcinoma: does AFIP histological grading correlate with rate of nodal metastases?

The aim of this study is to retrospectively evaluate the presentation of head and neck mucoepidermoid carcinoma at the Royal Melbourne Hospital and identify the significance of AFIP histological grading on the risk of neck metastasis and cancer free survival. This study is a retrospective cohort analysis of patients treated for head and neck mucoepidermoid carcinoma at the RMH between 2005 and 2022. Patient demographics, treatment, pathology, in particular the AFIP histological grading of the primary tumour, and outcomes were collected and tabulated. Time to recurrence was recorded, and survival outcomes were calculated with Kaplan-Meier method. Comparisons were made on different histological grading and regional metastases. Thirty-three patients were identified and thirty met the inclusion criteria. There was an age range of 18-77 years (median 54 years) with no significant sex difference. Our patients had a 94% 5-year survival and an 86% 10-year survival. Thirteen patients had elective neck dissection and 2 out of 13 (15%) of the patients had positive neck disease. Of the two patients with regional metastasis, the primary tumour was graded as intermediate and low grade. No high-grade MEC patients had regional metastasis. Mucoepidermoid carcinoma of the head and neck is associated with a good disease-specific and overall survival despite the presence of regional metastasis. The AFIP histological grading system did not have a statistically significant correlation to the incidence of nodal metastasis.