Clinicopathological characteristics of patients with primary tracheal tumors: Analysis of eighty-nine cases.

BACKGROUND: Primary tracheal tumors are very rare and the literature on this subject is limited. The most common histological type of primary tracheal tumors is squamous cell carcinoma (SCC), followed by adenoid cystic carcinoma (ACC). Limited knowledge exists regarding the behavior and outcomes of different histological types of tracheal cancers. The present study aimed to address this gap by assessing the significance of the histological type of primary tracheal tumors based on our own data and to review the literature. METHODS: We carried out a retrospective analysis of 89 patients with primary tracheal tumors treated at the Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland, between 2000 and 2016. The study assessed patient demographics, tumor characteristics and treatment, with a focus on SCC, ACC, and other histological types. Different histological types were compared in terms of overall survival, disease-free survival, and progression-free survival. RESULTS: SCC was the most frequently diagnosed histological type (56.2%), followed by ACC (21.3%). Patients with SCC were typically older (78% over 60 years), predominantly male (66%), and associated with smoking. In contrast, the ACC had a more balanced gender distribution and did not correlate with smoking. ACC displayed a significantly better prognosis, with a median overall survival of 129.4 months, compared with 9.0 months for SCC. CONCLUSION: Histological type plays a crucial role in the prognosis of primary tracheal tumors. ACC demonstrated a more favorable outcome compared with SCC.

Unveiling bone metastasis: Exploring histological subtypes of breast cancer in Indonesia's tertiary referral hospital.

INTRODUCTION: The histological grade of a tumor is an important prognostic indicator in both primary breast cancer and metastatic. We aimed to show the distribution of bone metastasis locations across different histological subtypes of breast cancer and how they relate to each. METHODS: The cohort retrospective study comprised 65 patients diagnosed with bone-only metastatic breast cancer, all female. The secondary statistics for 2014 to 2022 were derived from breast cancer registration data collected to determine the relationships between patterns of bone metastases sites and histopathological grading in various histological categories. RESULTS: The average age was 44.28±9.80 years (25-62 years), with 38 patients (58.5%) diagnosed with Invasive Ductal Carcinoma (IDC) and 27 patients (41.5%) with Invasive Lobular Carcinoma (ILC). Grade III were found in 34 patients (50.8%), Grade II in 31 patients (47.7%) and Grade I in one patient (1.5%). The most common sites of bone metastases are costae, followed by femur, vertebrae and pelvic. Vertebrae and costae metastasis are significantly correlated with histological grading and breast cancer pathology (p: 0.027 and 0.033, respectively). CONCLUSION: There is a considerable difference between vertebrae and costae metastasis in terms of histological grading and breast cancer pathology which indicates the higher grade contains a greater variety of bone metastases sites.

Histological types of lung cancer attributable to fine particulate, smoking, and genetic susceptibility.

BACKGROUND: Fine particulate matter (PM2.5), smoking, and genetic factors are associated with lung cancer. However, the relationship between PM2.5, smoking and subtypes of lung cancer remains unclear. Moreover, it is unclear whether genetic risk modifies the impact of PM2.5 and smoking on incident lung cancer. METHODS: A total of 298,069 participants from the UK Biobank study without lung cancer at baseline were included in this study. Hazard ratios (HRs) with 95 % confidence intervals (CIs) were estimated using multivariable Cox proportional models for the association of lung cancer and its subtypes with PM2.5, smoking, and genetic risk. Potential gene-smoking or gene-PM2.5 interactions were also estimated. We further estimated population attributable fractions for incident lung cancer. RESULTS: During 10.4 years of follow-up, 1683 incident lung cancer cases were identified. Our analysis found that genetic variants, smoking, and PM2.5 were significantly associated with incident lung cancer. For different histological types of lung cancer, the HRs for squamous cell lung carcinoma associated with PM2.5 (per 5 µg/m3 increment) and current smoking were 2.76 (95 % CI: 1.72, 4.42, p < 0.001) and 48.64 (95 % CI: 27.96, 84.61, p < 0.001), while the HRs for lung adenocarcinoma were 1.59 (95 % CI: 1.13, 2.23, p < 0.001) and 9.89 (95 % CI: 7.91, 12.36, p < 0.001), respectively. We further found that participants with high levels of PM2.5 pollution and high genetic risk had the highest risk of incident lung cancer (HR = 1.81, 95 % CI: 1.39, 2.35, p < 0.001), while the interaction between PM2.5 and genetic risk was not statistically significant. We observed that the population attributable fractions of lung cancer attributable to current smoking and high PM2.5 exposure were estimated to be 67.45 % and 17.59 %. CONCLUSION: Genetic susceptibility, smoking, and PM2.5 are important risk factors for lung cancer. Both smoking and PM2.5 are more closely associated with an elevated risk of squamous cell lung cancer.

Clinical characteristics and prognosis analysis of uterine sarcoma: a single-institution retrospective study.

BACKGROUND: Uterine sarcomas are rare and aggressive gynaecologic malignancies, characterized by a relatively high recurrence rate and poor prognosis. The aim of this study was to investigate the clinicopathological features and explore the prognostic factors of these malignancies. METHODS: This was a single-institution, retrospective study. We reviewed the medical records of 155 patients with pathologically confirmed uterine sarcomas including uterine leiomyosarcoma (ULMS), low-grade endometrial stromal sarcoma (LG-ESS), high-grade endometrial stromal sarcoma (HG-ESS), undifferentiated uterine sarcoma (UUS) and adenosarcoma (AS) between 2006 and 2022. A total of 112 patients who underwent surgery between January 2006 and April 2019 were included in the survival analysis. The current study recorded the clinicopathological, treatment and outcome data to determine clinical characteristics and survival. RESULTS: The most common histopathological type was ULMS (63/155, 40.64%), followed by LG-ESS (56/155, 36.13%) and HG-ESS (16/155, 10.32%). The mean age at diagnosis of all patients was 49.27±48.50 years and 32.90% (51/155) of patients were postmenopausal. Fifteen patients underwent fast-frozen sectioning, 63(54.78%) were diagnosed with malignancy, 29(25.22%) were highly suspected of malignancy that needed further clarification and 23(14.84%) were diagnosed with benign disease. A total of 124(80%) patients underwent total hysterectomy (TH) and salpingo-oophorectomy. Multivariate analyses showed that histological type and tumour size were independent prognostic factors both for overall survival (OS) (p<0.001 and P=0.017, respectively) and progression-free survival (PFS) (p<0.001 and P=0.018, respectively). Tumour stage was only significantly associated with PFS (P=0.002). Elevated preoperative NLR, PLR and postmenopausal status were significantly correlated with shorter PFS and OS in univariate analysis, but no statistically significant difference was found in multivariate analysis. CONCLUSIONS: In patients with uterine sarcoma, in comparison to LMS and LG-ESS, UUS and HG-ESS tend to present as more aggressive tumour with poorer outcomes. Furthermore, larger tumour (>7.5 cm) were an important predictor of shorter PFS and OS.

Intrahepatic cholangiocarcinoma: Tumour heterogeneity and its clinical relevance.

Treatment of intrahepatic cholangiocarcinoma (iCCA) is currently at a significant turning point due to the identification of isocitrate dehydrogenase (IDH) mutations and fibroblast growth factor receptor (FGFR) fusions that can be targeted with currently available therapies. Clinical trials of these targeted therapies have been promising, and the iCCA patients who may benefit from these targeted treatments can be identified by pathological examination prior to molecular investigations. This is because IDH mutations and FGFR fusions are mainly seen in the small duct type iCCA, a subtype of iCCA defined by the 5th World Health Organization classification, which can be recognized by the pathological diagnostic process. Therefore, pathology plays an important role in precision medicine for iCCA, not only in confirming the diagnosis, but also in identifying the iCCA patients who may benefit from targeted treatments. However, caution is advised with the pathological diagnosis, as iCCA shows tumour heterogeneity, making it difficult to distinguish small duct type iCCA from hepatocellular carcinoma (HCC), and combined HCC-CCA. This review focuses on the pathological/molecular features of both subtypes of iCCA (large and small duct types), as well as their diagnostic pitfalls, clinical relevance, and future perspectives.

Trends in survival of epithelial ovarian/tubal cancer by histology and socioeconomic status in Denmark 1996-2017.

OBJECTIVES: To examine time trends in ovarian/tubal cancer relative survival, excess mortality, and all-cause mortality for different histological types and levels of socioeconomic position. METHODS: Women with ovarian/tubal cancer diagnosed 1996-2017 were identified in the Danish Cancer Registry (n = 11,755). Age-standardized 5-year relative survival over time was estimated by histology, socioeconomic status, and stage. Furthermore, 5-year excess mortality rate ratios (EMRR) according to calendar time for all categories of histology and socioeconomic status were calculated using a Poisson regression model. Finally, all-cause mortality by histology and socioeconomic status was estimated in multivariate Cox proportional hazards regression models. RESULTS: Statistically significant improvements in 5-year relative survival occurred for all histological types over time except mucinous tumors (5-year EMRR, localized: 0.92 (95% CI: 0.71-1.16); advanced: 0.96 (95% CI: 0.85-1.08). Increase in relative survival over time and corresponding decrease in excess mortality was observed for all categories of socioeconomic status except for women with localized disease in the lowest income group (5-year EMRR = 0.91 (95% CI:0.76-1.10)). The impact of histology and socioeconomic status on all-cause mortality depended on time since diagnosis. Among the socioeconomic factors, especially low educational level and living alone were associated with increased all-cause mortality, particularly in the first year after diagnosis. CONCLUSIONS: Ovarian/tubal cancer survival generally increased over time across histological types and socioeconomic factors. However, the lack of improvement for mucinous tumors needs further research. Additionally, the results for women with low income and education shows that continued focus on social equality in survival is necessary.

[Age-related features of annual mortality and survival of patients with thyroid cancer (C73) in Saint Petersburg (population study).]

Every year in Russia, more than 13 thousand (13 250 - in 2018) new cases of thyroid cancer are registered, in St. Petersburg about 1 000 (975 - in 2018) (150 among men and 825 among women). In Russia, almost no studies are conducted to analyze the survival rate of patients with thyroid cancer at the population level. Such developments have been carried out by us since 1998. It was found that the level of 5-year observed and relative survival of patients with thyroid cancer in our city was significantly lower than the European average (Eurocare-4 program). It is planned to analyze the dynamics of objective indicators of the activity of the cancer service based on the database of the population cancer register of St. Petersburg. There was a significant improvement in the indicators of partial mortality, mortality of patients in the first year of follow-up, one-year survival from 2000 to 2018 from 74,7 to 97,5%, and five-year survival from 71,2 to 76,2%. The relative survival rate was 1-5% higher. The five-year survival rate of patients with thyroid cancer was significantly higher among patients under 60 years of age than among those aged 60 years and older (92,2 and 62,7%, respectively). Given the low mortality rate among patients with thyroid cancer, the median survival rate is calculated only for 2004. It was 14,8 years.

Altona Prognostic Index: A New Prognostic Index for ER-Positive and Her2-Negative Breast Cancer of No Special Type.

Breast cancer is a heterogeneous disease representing a number of different histopathologic and molecular types which should be taken into consideration if prognostic or predictive models are to be developed. The aim of the present study was to demonstrate the validity of the long-known Nottingham prognostic index (NPI) in a large retrospective study (n = 6654 women with a first primary unilateral and unifocal invasive breast cancer diagnosed and treated between April 1996 and October 2018; median follow-up time of breast cancer cases was 15.5 years [14.9-16.8]) from a single pathological institution. Furthermore, it was intended to develop an even superior risk stratification model considering an additional variable, namely the patient's age at the time of diagnosis. Heterogeneity of these cases was addressed by focusing on estrogen receptor-positive as well as Her2-negative cases and taking the WHO-defined different tumor types into account. Calculating progression free survival Cox-regression and CART-analysis revealed significantly superior iAUC as well as concordance values in comparison to the NPI based stratification, leading to an alternative, namely the Altona prognostic index (API). The importance of the histopathological tumor type was corroborated by the fact that when calculated separately and in contrast to the most frequent so-called "No Special Type" (NST) carcinomas, neither NPI nor API could show valid prognostic stratification.

Medulloblastoma: clinicopathological parameters, risk stratification, and survival analysis of immunohistochemically validated molecular subgroups.

BACKGROUND: Medulloblastoma (MB) is a heterogeneous disease, displaying distinct genetic profiles with specific molecular subgroups. This study aimed to validate MB molecular subgrouping using surrogate immunohistochemistry and associate molecular subgroups, histopathological types, and available clinicopathological parameters with overall survival (OS) and progression-free survival (PFS) of MB patients. This study included 40 MBs; immunohistochemical staining, using ß-catenin and GRB2-Associated Binding Protein 1 (GAB1) antibodies, was used to classify MB cases into wingless signaling activated (WNT), sonic hedgehog (SHH), and non-WNT/SHH molecular subgroups. Nuclear morphometric analysis (for assessment of degree of anaplasia) and Kaplan-Meier survival curves were done. RESULTS: MB cases were classified into WNT (10%), SHH (30%), and non-WNT/SHH (60%) subgroups. Histopathological types differed significantly according to tumor location (p< 0.001), degree of anaplasia (p = 0.014), molecular subgroups (p < 0.001), and risk stratification (p = 0.008). Molecular subgroups differed significantly in age distribution (p = 0.031), tumor location (p< 0.001), histopathological variants (p < 0.001), and risk stratification (p < 0.001). OS was 77.5% and 50% after 1 and 2 years, while PFS was 65% and 27.5% after 1 and 2 years, respectively. OS and PFS were associated significantly with histopathological variants (p < 0.001 and 0.001), molecular subgroups (p = 0.012 and 0.005), and risk stratification (p < 0.001 and < 0.001), respectively. CONCLUSIONS: Medulloblastoma classification based on molecular subgroups, together with clinicopathological indicators, mainly histopathological types; accurately risk stratifies MB patients and predicts their survival.

Clinicopathological characteristics and prognosis of breast cancer with special histological types: A surveillance, epidemiology, and end results database analysis.

OBJECTIVES: To explore the clinicopathological features and prognosis of breast cancer with special histological types. MATERIALS AND METHODS: The information of breast cancer patients was obtained from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2016). Comparative analyses were performed to explore the difference in clinicopathological characteristics and propensity score matching (PSM) was used to weaken the effects from clinical profiles. Survival analysis was conducted to investigate the prognostic effects from histological types, and the prognostic factors of this group of patients were identified with the univariate COX proportional model. RESULTS: A total of 242863 breast cancer patients were eligible, of which 230213 individuals were ductal breast cancer (IDC) and 12650 individuals were special breast lesions, respectively. Comparatively, special breast cancer had a lower histological grade, a smaller tumor size, a lower proportion of nodal involvement and distant metastasis, in addition to a higher proportion of triple-negative subtype. The overall prognosis of special histological breast cancer was comparable to IDC, while the survival of HER2 enriched breast cancer was in favor of special breast cancer. With the PSM performance, the prognosis exhibited an inferior profile in the metaplastic breast cancer and was significantly favorable to apocrine, medullary, micropapillary, and papillary breast cancer. CONCLUSION: This study revealed that the special histological breast cancer presented distinct clinicopathological characteristics and great heterogeneity in the prognosis among diverse histological subtypes.

Corrigendum: A Non-invasive Method to Diagnose Lung Adenocarcinoma.

[This corrects the article DOI: 10.3389/fonc.2020.00602.].

Prevalencia de Cáncer de Tiroides en Centros de Referencia del Paraguay / Prevalence of Thyroid Cancer in Reference Centers of Paraguay

Introducción: El Cáncer de tiroides es la neoplasia maligna más frecuente del sistema endócrino. Durante las últimas décadas se ha observado un aumento de su incidencia de forma progresiva en numerosos países y regiones del mundo. Objetivos: Determinar la prevalencia de Cáncer de tiroides y, los tipos histológicos, en 3 hospitales de referencia en Paraguay. Materiales y métodos: Estudio observacional, descriptivo, retrospectivo, de corte transversal. Se incluyó a todos los pacientes sometidos a tiroidectomía parcial o total en el Hospital de Clínicas, Instituto de Previsión Social e Instituto Nacional del Cáncer, entre los años 2011 y 2015. Resultados: La prevalencia de cáncer de tiroides fue de 23,7% de 1913 pacientes sometidos a tiroidectomía. El 85,7% fueron del sexo femenino. La edad media fue de 43±14 años. El 85,4 % de los pacientes presentó Carcinoma Papilar; el 9,5% Carcinoma Folicular; el 3,1% Carcinoma Medular; el 1,6% Carcinoma Anaplásico y el 0,4% Carcinoma Papilar + Carcinoma Folicular en el mismo paciente. El sexo femenino fue más frecuente en todos los tipos histológicos y, el Carcinoma Medular resultó igual en ambos sexos. La edad media de los pacientes con Carcinoma Papilar fue de 42±13 años, Carcinoma Medular 49±15 años, del Carcinoma Folicular 50±18 años y Carcinoma Anaplásico 69±11 años. El tamaño promedio del Carcinoma Papilar fue de 19±17 mm, del Carcinoma Folicular 53±24 mm, del Carcinoma Medular 40±22 mm, y el Carcinoma Anaplásico 50±35 mm. Conclusión: Aproximadamente 1 de cada 4 pacientes sometidos a tiroidectomía presentó cáncer de tiroides, siendo más frecuente en el sexo femenino y, el Carcinoma Papilar es el tipo histológico más frecuente.

Introduction: Thyroid cancer is the most frequent malignant neoplasm of the endocrine system. During the last decades, an increase in its incidence has been observed progressively in many countries and regions of the world. Objectives: To determine the prevalence of thyroid cancer and its histological types in thyroidectomies carried out in reference hospitals in Paraguay. Materials and methods: Observational, descriptive, retrospective, cross-sectional study. All patients undergoing partial or total thyroidectomy at the Hospital de Clínicas, Instituto de Previsión Social and Instituto Nacional del Cáncer between 2011 and 2015 were included. Results: The prevalence of thyroid cancer was 23.7% of 1913 patients undergoing thyroidectomy. 85.7% were female. The mean age was 43 ± 14 years. 85.4% of the patients presented Papillary Carcinoma; 9.5% Follicular Carcinoma; 3.1% Medullary Carcinoma; 1.6% Anaplastic Carcinoma and 0.4% Papillary Carcinoma + Follicular Carcinoma in the same patient. The mean age of the patients with Papillary Carcinoma was 42 ± 13 years, Medullary Carcinoma 49 ± 15 years, Follicular Carcinoma 50 ± 18 years, and Anaplastic Carcinoma 69 ± 11 years. The average size of Papillary Carcinoma was 19 ± 17 mm, Medullary Carcinoma 40 ± 22 mm, Anaplastic Carcinoma 50 ± 35 mm, and Follicular Carcinoma 53 ± 24 mm. Conclusion: About 1 in 4 patients undergoing thyroidectomy has thyroid cancer, it is more frequent in women, and the most frequent histological type is Papillary Carcinoma.

A Non-invasive Method to Diagnose Lung Adenocarcinoma.

Purpose: To find out the CT radiomics features of differentiating lung adenocarcinoma from another lung cancer histological type. Methods: This was a historical cohort study, three independent lung cancer cohorts included. One cohort was used to evaluate the stability of radiomics features, one cohort was used to feature selection, and the last was used to construct and evaluate classification models. The research is divided into four steps: region of interest segmentation, feature extraction, feature selection, and model building and validation. The feature selection methods included the intraclass correlation coefficient, ReliefF coefficient, and Partition-Membership filter. The performance metrics of the classification model included accuracy (Acc), precision (Pre), area under curve (AUC), and kappa statistics. Results: The 10 features (First order shape features: Sphericity and Compacity, Gray-Level Run Length Matrix: Short-Run Emphasis, Low Gray-level Run Emphasis, and High Gray-level Run Emphasis, Gray Level Co-occurrence Matrix: Homogeneity, Energy, Contrast, Correlation, and Dissimilarity) showed the most stable and classification capability. The 6 classifiers, Logistic regression classifier (LR), Sequence Minimum Optimization algorithm, Random Forest, KStar, Naive Bayes and Random Committee, have great performance both on the train and the test sets, and especially LR has the best performance on the test set (Acc = 98.72, Pre = 0.988, AUC = 1, and kappa = 0.974). Conclusion: Lung adenocarcinoma can be identified based on CT radiomics features. We can diagnose lung adenocarcinoma with CT non-invasively.

Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer.

Purpose: To design and validate a preprocessing procedure dedicated to T2-weighted MR images of lung cancers so as to improve the ability of radiomic features to distinguish between adenocarcinoma and other histological types. Materials and Methods: A discovery set of 52 patients with advanced lung cancer who underwent T2-weighted MR imaging at 3 Tesla in a single center study from August 2017 to May 2019 was used. Findings were then validated using a validation set of 19 additional patients included from May to October 2019. Tumor type was obtained from the pathology report after trans-thoracic needle biopsy, metastatic lymph node or metastasis samples, or surgical excisions. MR images were preprocessed using N4ITK bias field correction and by normalizing voxel intensities with fat as a reference region. Segmentation and extraction of radiomic features were performed with LIFEx software on the raw images, on the N4ITK-corrected images and on the fully preprocessed images. Two analyses were conducted where radiomic features were extracted: (1) from the whole tumor volume (3D analysis); (2) from all slices encompassing the tumor (2D analysis). Receiver operating characteristic (ROC) analysis was used to identify features that could distinguish between adenocarcinoma and other histological types. Sham experiments were also designed to control the number of false positive findings. Results: There were 31 (12) adenocarcinomas and 21 (7) other histological types in the discovery (validation) set. In 2D, preprocessing increased the number of discriminant radiomic features from 8 without preprocessing to 22 with preprocessing. 2D analysis yielded more features able to identify adenocarcinoma than 3D analysis (12 discriminant radiomic features after preprocessing in 3D). Preprocessing did not increase false positive findings as no discriminant features were identified in any of the sham experiments. The greatest sensitivity of the 2D analysis applied to preprocessed data was confirmed in the validation set. Conclusion: Correction for magnetic field inhomogeneities and normalization of voxel values are essential to reveal the full potential of radiomic features to identify the tumor histological type from MR T2-weighted images, with classification performance similar to those reported in PET/CT and in multiphase CT in lung cancers.

A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma.

OBJECTIVES: Classification of histologic subgroups has significant prognostic value for lung adenocarcinoma patients who undergo surgical resection. However, clinical histopathology assessment is generally performed on only a small portion of the overall tumor from biopsy or surgery. Our objective is to identify a noninvasive quantitative imaging biomarker (QIB) for the classification of histologic subgroups in lung adenocarcinoma patients. METHODS: We retrospectively collected and reviewed 1313 CT scans of patients with resected lung adenocarcinomas from two geographically distant institutions who were seen between January 2014 and October 2017. Three study cohorts, the training, internal validation, and external validation cohorts, were created, within which lung adenocarcinomas were divided into two disease-free-survival (DFS)-associated histologic subgroups, the mid/poor and good DFS groups. A comprehensive machine learning- and deep learning-based analytical system was adopted to identify reproducible QIBs and help to understand QIBs' significance. RESULTS: Intensity-Skewness, a QIB quantifying tumor density distribution, was identified as the optimal biomarker for predicting histologic subgroups. Intensity-Skewness achieved high AUCs (95% CI) of 0.849(0.813,0.881), 0.820(0.781,0.856) and 0.863(0.827,0.895) on the training, internal validation, and external validation cohorts, respectively. A criterion of Intensity-Skewness ≤ 1.5, which indicated high tumor density, showed high specificity of 96% (sensitivity 46%) and 99% (sensitivity 53%) on predicting the mid/poor DFS group in the training and external validation cohorts, respectively. CONCLUSIONS: A QIB derived from routinely acquired CT was able to predict lung adenocarcinoma histologic subgroups, providing a noninvasive method that could potentially benefit personalized treatment decision-making for lung cancer patients. KEY POINTS: • A noninvasive imaging biomarker, Intensity-Skewness, which described the distortion of pixel-intensity distribution within lesions on CT images, was identified as a biomarker to predict disease-free-survival-associated histologic subgroups in lung adenocarcinoma. • An Intensity-Skewness of ≤ 1.5 has high specificity in predicting the mid/poor disease-free survival histologic patient group in both the training cohort and the external validation cohort. • The Intensity-Skewness is a feature that can be automatically computed with high reproducibility and robustness.

[Age-related features of the dynamics of morbidity and mortality, localization and histological structures of rectal cancer (population study).]

Rectal cancer is a malignant tumor of the distal colon of epithelial origin. Every year, more than 30,000 (30 969 - 2018) new cases of Rectal cancer and 16,000 deaths (16 151) are registered in Russia. The index of reliability of accounting (the ratio of the number of dead to sick) is 0,52%. Rectal cancer refers to localities with an average mortality rate. In the North-Western Federal district, more than 3 thousand primary cases of Rectal cancer were registered (3285 - 2018). The state statistics of the Rectal cancer provides data on morbidity and mortality in three categories of ICD-10 together (C19-21). Detailed development of data not only separately for each category of ICD-10, but also for the fourth sign is possible only from the data bases of cancer registers. As of 01.01.2019, the Population cancer register of the North-Western Federal district created by us totaled more than 1 million cases of malignant tumors (1 067 661), including Rectal cancer - 50 745 cases, or 4,8%. The share of the Rectal cancer is close to the national average - 4,9%. The article presents a detailed structure of cancer pathology in Rectal cancer. The leading role of the 3 specified categories belongs to the rectal malignant tumors (C20) - 75,4%, 19,8% falls on the malignant tumors of the rectosigmoid department (C19) and only 4,7% on the C21 - malignant tumors of the anus and anal canal. For all these categories, the dynamics of the structure is presented, which proved to be quite stable.

Is percutaneous computed tomography-guided biopsy sufficient to establish indolent lymphoma transformation?

INTRODUCTION: The aim of the study was to retrospectively evaluate the technical features, efficacy, accuracy, and relevant complications of computed tomography-guided biopsies in various anatomical localizations when diagnosing indolent lymphoma transformations, relapses, duplicate malignant diseases or benign processes. MATERIAL AND METHODS: From December 2007 to December 2017, 81 percutaneous biopsy procedures in 72 patients for tumors, sizes 17-232 mm in diameter (median length: 39 mm), were performed in patients with known indolent lymphomas in their clinical history. The patients were men in 41 cases and women in 31 cases, aged 36 to 86 years. RESULTS: In 79 cases (97.5%; 95% CI: 91.3-99.7) results were true positive or true negative; only 2 interventions (2.5%; 95% CI: 0.3-8.6) were histologically false negative. Transformation was verified in 29 cases (35.8%; 95% CI: 25.4-47.2), relapses in 30 cases (37%; 95% CI: 26.6-48.5), duplicate malignancy in 15 cases (18.5%; 95% CI: 10.8-28.7) and benign processes in 7 cases (8.7%; 95% CI: 3.5-17.0). Eight complications in total were revealed, 7 of which were in consequence of thoracic cavity biopsy. A statistically significant relationship between the complication incidence and anatomical localization in the thoracic cavity was identified (p = 0.0104). CONCLUSIONS: Percutaneous CT guided biopsy performed in patients with a history of indolent lymphoma had high accuracy in establishing the correct diagnosis regarding transformation, relapse, duplicate malignancy or a benign process. Simultaneously, the complication rate was low.

Lung cancers associated with cystic airspaces: CT features and pathologic correlation.

OBJECTIVE: Lung cancer associated with cystic airspaces (LCCA) is a rare entity. The diagnosis and treatment is often delayed due to lack of comprehension of this disease. We aimed to elucidate LCCA's clinicopathological characteristics and investigate imaging features correlated with pathological invasiveness. METHOD: The preoperative computed tomographic (CT) scans of 10,835 patients diagnosed with NSCLC between January 2015 and December 2016 were reviewed by two thoracic radiologists for association with a cystic airspace. A clinicopathological and radiological feature analysis was done. RESULT: A total number of 123 LCCA patients were identified and four morphologic patterns were recognized: I, thin-walled type (n = 23, 18.7%); II, thick-walled type (n = 34, 27.6%); III, a cystic airspace with a mural nodule (CWN) type (n = 43, 35.0%); and IV, mixed type (n = 23, 18.7%). A solid component in the cyst wall predicted histological invasiveness in all four types of LCCA. The proportion of moderately/poorly (M/P)-differentiated subtype in type III (85.0%) was higher than in other three patterns (which were 50.0%, 50.0%, and 69.6%, respectively). Multivariate analysis revealed that type III pattern (odds ratio [OR], 6.5; 95% confidence interval [CI], 1.1-36.4; P = 0.035), part-solid/solid component in wall (part-solid: OR, 27.2; 95% CI, 5.6-3131.6; P < 0.001; solid: OR 614.6; 95% CI, 36.4-10,368.6; P < 0.001), and irregular inner surface of cyst (OR 7.0; 95% CI 1.9-26.2; P = 0.004) were independent risk factors for the M/P-differentiated subtype. EGFR mutations were the predominant genetic alterations in each type of LCCAs, but no significant difference was found among them. CONCLUSIONS: In LCCA, morphological patterns and wall components were two important predictors for determining pathological invasiveness.

Association of serum follistatin levels with histological types and progression of tumor in human lung cancer.

BACKGROUND: Follistatin (FST), an activin-binding protein, inhibits activin action by interfering with activin binding to its receptor. The prognostic value of FST has been studied in various cancers. However, these studies rarely focus on lung cancer. In our study, we investigated the relationship between serum FST levels and lung cancer with histologic types, TNM staging, and recurrence. METHODS: A total of 150 serum samples were collected, including 91 from patients with SCLC or NSCLC, 22 from patients with benign lung diseases, and 37 from healthy subjects. Enzyme-linked immunosorbent assay was used to determine serum FST levels in healthy subjects, patients with benign lung diseases and patients with lung cancers. RESULTS: Serum FST levels in patients with LADC, SCC, LASC, LCLC, and SCLC were much higher than those in healthy subjects and in patients with lung benign disease. A ROC curve was constructed for differentiating the lung cancer from the healthy subjects and benign lung diseases. The results indicated that the area under the ROC curve (AUC) was 0.971 and 0.728 respectively. According to TNM staging, serum FST level increased significantly in patients with stage III and IV of LADC. Moreover, serum FST expression were increased in LADC patients with different TNM category. Furthermore, we found that a higher expression of serum FST was correlated with recurrence in LADC patients. CONCLUSIONS: The serum FST levels gradually increased with the rise of TNM staging and category in lung cancer patients. These data suggest that serum FST levels not only can be used in auxiliary diagnosis for lung cancer but also might be associated with the disease progression and metastasis of lung cancers.

Prevalence of occupational exposure to asbestos and crystalline silica according to phenotypes of lung cancer from the CaProMat study: A case-only study.

BACKGROUND: The objective of the study was to compare the prevalence of occupational exposure to asbestos and crystalline silica according to histological types of lung cancer and age at diagnosis. METHODS: CaProMat study is a pooled case-only study conducted between 1996 and 2011. The current study consisted of 6521 lung cancer cases. Occupational exposure to asbestos and crystalline silica was assessed by two Job-Exposure Matrices. A weighted prevalence of exposure was derived and compared according to histological types and age at diagnosis. RESULTS: There was no difference of weighted prevalence of exposure to asbestos and crystalline silica according to histological types of lung cancer. There was a statistically significant difference of weighted prevalence of exposure to asbestos and crystalline silica according to age at diagnosis. CONCLUSIONS: Due to the limited clinical importance of the difference, neither the histological type, nor the age at diagnosis can be used as an indicator for the occupational exposure to asbestos or crystalline silica.