Clinicopathological Features Research Articles

The clinicopathological significance and prognostic value of PD-L1 in oral squamous cell carcinoma.

To investigate the relationship between the expression of PD-L1 in OSCC and the clinicopathological features and prognosis of patients. We retrospectively analyzed the clinicopathological data and prognosis of 381 OSCC patients. Immunohistochemical staining was performed on OSCC tumor specimens, and the expression level of PD-L1 was evaluated according to the combined positive score (CPS). Kaplan-Meier analysis was used to identify the effect of PD-L1 expression and clinicopathological features on the prognosis of patients. Univariate and multivariate Cox regression analyses were conducted to determine the hazard factors affecting the prognosis of patients. PD-L1 overexpression was significantly associated with cervical lymph node metastasis (p = 0.018), worse clinical stage (p = 0.022), worse tumor differentiation (p = 0.046), and worse depth of invasion (DOI) (p = 0.003). Poorer clinical stage and degree of tumor differentiation were significantly associated with poorer OS and DSS in patients. PD-L1 expression was not associated with prognosis in patients with OSCC. High PD-L1 expression was significantly associated with higher tumor malignancy in OSCC patients. Poorer clinical stage and degree of tumor differentiation were associated with poor prognosis in OSCC patients. Our results may help clinicians develop more appropriate individualized treatment strategies for their patients, thus improving their outcomes.

Pathologic and Molecular Features of Perihilar Cholangiocarcinoma Based on U-P Point Division.

The Japanese Society of Hepato-Biliary-Pancreatic Surgery guidelines propose a classification scheme that differs from the Union for International Cancer Control (UICC) system, in which the anatomic U-P point is the boundary between intrahepatic cholangiocarcinoma and perihilar cholangiocarcinoma (PCC). To investigate whether this classification system improves clinicopathologic and genomic differentiation. Fifty-eight PCC cases defined by the UICC system were collected and classified into intrahepatic PCC (IPCC) and extrahepatic PCC (EPCC) categories using U-P point division. They were analyzed by next-generation sequencing using a panel that targeted 425 cancer-related genes. The IPCC group exhibited a significant larger tumor size compared with the EPCC group (4.67 ± 2.44 cm versus 2.50 ± 0.91 cm, P = .002). The mutation frequency of KRAS proto-oncogene, GTPase (KRAS) Q61 was also significantly higher in the IPCC group than in the EPCC group (16.7% versus 0.0%, P = .03). There were no statistically significant differences in other pathologic features or genomic characteristics, including tumor mutation burden and microsatellite instability. Significant differences in gene mutation rates, such as phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA; 0.0% versus 15.8%, P = .01) and tumor protein p53 (TP53; 34.5% versus 63.2%, P = .04), were observed between PCC and adjacent biliary tract cancers. This study offers valuable insight into the clinicopathologic and genomic features of PCC. It is proposed that the U-P point division may have limited potential to refine the characterization of PCC regarding these features, and that the UICC classification system can readily demonstrate the molecular specificity of PCC.

Mitochondrial DNA copy number and risk of papillary thyroid carcinoma.

Mitochondrial DNA (mtDNA) copy number is associated with tumor activity and carcinogenesis. This study was undertaken to investigate mtDNA copy number in papillary thyroid cancer (PTC) tissues and to evaluate the risk of PTC development. The clinicopathological features of patients and mtDNA copy number were correlated. The value of mtDNA copy number was evaluated as a biomarker for PTC. DNA was extracted from 105 PTC tissues and 67 control thyroid tissues, and mtDNA copy number mtDNA oxidative damage were determined using qPCR techniques. Overall, the relative mtDNA copy number was significantly higher in PTC patients (p < 0.001). The risk of developing PTC increased significantly across the tertiles of mtDNA copy number (p trend < 0.001). The higher the mtDNA copy number tertile, the greater the risk of developing PTC. Patients with follicular variants had an odds ratio of 2.09 (95% CI: 1.78-2.44) compared to those with classical variants (p < 0.001). The level of mtDNA oxidative damage in PTC was significantly elevated compared to controls (p < 0.001). The ROC analysis of mtDNA copy number indicated an area under the curve (AUC) of 77.7% (95% CI: 0.71 to 0.85, p < 0.001) for the ability of mtDNA copy number z-scores in differentiate between PTC and controls. Our results indicated that the augmentation of mtDNA content plays a significant role during the initiation of thyroid cancer, and it might represent a potential biomarker for predicting the risk of PTC.

Based on 3D-PDU and clinical characteristics nomogram for prediction of lymph node metastasis and lymph-vascular space invasion of early cervical cancer preoperatively.

To develop and validate a nomogram based on 3D-PDU parameters and clinical characteristics to predict LNM and LVSI in early-stage cervical cancer preoperatively. A total of first diagnosis 138 patients with cervical cancer who had undergone 3D-PDU examination before radical hysterectomy plus lymph dissection between 2014 and 2019 were enrolled for this study. Multivariate logistic regression analyses were performed to analyze the 3D-PDU parameters and selected clinicopathologic features and develop a nomogram to predict the probability of LNM and LVSI in the early stage. ROC curve was used to evaluate model differentiation, calibration curve and Hosmer-Lemeshow test were used to evaluate calibration, and DCA was used to evaluate clinical practicability. Menopause status, FIGO stage and VI were independent predictors of LNM. BMI and maximum tumor diameter were independent predictors of LVSI. The predicted AUC of the LNM and LSVI models were 0.845 (95%CI,0.765-0.926) and 0.714 (95%CI,0.615-0.813). Calibration curve and H-L test (LNM groups P = 0.478; LVSI P = 0.783) all showed that the predicted value of the model had a good fit with the actual observed value, and DCA indicated that the model had a good clinical net benefit. The proposed nomogram based on 3D-PDU parameters and clinical characteristics has been proposed to predict LNM and LVSI with high accuracy, demonstrating for the first time the potential of non-invasive prediction. The probability derived from this nomogram may have the potential to provide valuable guidance for physicians to develop clinical individualized treatment plans of FIGO patients with early cervical cancer.

Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach.

The roles of magnetic resonance imaging (MRI) -based radiomics approach and deep learning approach in cervical adenocarcinoma (AC) have not been explored. Herein, we aim to develop prognosis-predictive models based on MRI-radiomics and clinical features for AC patients. Clinical and pathological information from one hundred and ninety-seven patients with cervical AC was collected and analyzed. For each patient, 107 radiomics features were extracted from T2-weighted MRI images. Feature selection was performed using Spearman correlation and random forest (RF) algorithms, and predictive models were built using support vector machine (SVM) technique. Deep learning models were also trained with T2-weighted MRI images and clinicopathological features through Convolutional Neural Network (CNN). Kaplan-Meier curve was analyzed using significant features. In addition, information from another group of 56 AC patients was used for the independent validation. A total of 107 radiomics features and 6 clinicopathological features (age, FIGO stage, differentiation, invasion depth, lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) were included in the analysis. When predicting the 3-year, 4-year, and 5-year DFS, the model trained solely on radiomics features achieved AUC values of 0.659 (95%CI: 0.620-0.716), 0.791 (95%CI: 0.603-0.922), and 0.853 (95%CI: 0.745-0.912), respectively. However, the combined model, incorporating both radiomics and clinicopathological features, outperformed the radiomics model with AUC values of 0.934 (95%CI: 0.885-0.981), 0.937 (95%CI: 0.867-0.995), and 0.916 (95%CI: 0.857-0.970), respectively. For deep learning models, the MRI-based models achieved an AUC of 0.857, 0.777 and 0.828 for 3-year DFS, 4-year DFS and 5-year DFS prediction, respectively. And the combined deep learning models got a improved performance, the AUCs were 0.903. 0.862 and 0.969. In the independent test set, the combined model achieved an AUC of 0.873, 0.858 and 0.914 for 3-year DFS, 4-year DFS and 5-year DFS prediction, respectively. We demonstrated the prognostic value of integrating MRI-based radiomics and clinicopathological features in cervical adenocarcinoma. Both radiomics and deep learning models showed improved predictive performance when combined with clinical data, emphasizing the importance of a multimodal approach in patient management.

Benign Myoepithelial Neoplasms of Salivary Glands, Clinicopathologic Features and Review of the Literature

Benign Myoepithelial Neoplasms of Salivary Glands, Clinicopathologic Features and Review of the Literature

The impact of double-J ureteral stenting before radical cystectomy on the development of upper tract urothelial carcinoma.

It is controversial whether the use of a double-J stent (DJ) in patients with bladder cancer before radical cystectomy (RC) increases the risk of tumour seeding in the upper tract and thus the risk of metachronous upper tract urothelial carcinoma (UTUC). The aim of our study is to investigate the risk of upper tract recurrence after RC in patients previously managed with a DJ stent. A total of 699 patients who had undergone RC between January 2003 and March 2022 with complete perioperative data and pathological outcome were included in our study. Patients treated preoperatively with a DJ stent were identified and compared for development of metachronous UTUC with those who did not receive prior internal stenting. Multivariable Cox regression analysis was used to determine predictors of UTUC occurrence among the possible pathological features; risk factors for mortality after RC were also examined. Of 699 patients, 117 (16.7%) were managed preoperatively with a DJ stent. The overall probability of metachronous UTUC was 1%, 4% and 6% at 1, 3 and 5 years, respectively. The groups with and without DJ stenting were comparable regarding their clinicopathologic features, except for the higher incidence of hydronephrosis in the DJ group. At similar follow-up periods (median follow-up 32 months), metachronous UTUC was detected in four (3.4%) patients in the DJ group and in 13 (2.2%) in the non-stented group (P=0.44). The median interval (IQR) from cystectomy to UTUC was 40.5 (20-49) months in the DJ group and 37 (24-82) in the non-stented group (P=0.7). In the multivariable analysis, only presence of CIS (HR 3.83, 95% CI 1.19-12.29, P=0.024) and positive ureteral margin (HR=5.2, 95% CI 1.38-19.57, P=0.015) were predictors of metachronous UTUC. The study is limited by the retrospective nature and relatively short follow-up. Ureteral stenting for management of hydronephrosis in patients with bladder cancer undergoing RC is a viable option, without higher risk for UTUC or mortality. Patients with positive ureteral margin and CIS are considered high-risk groups for upper tract recurrence and should receive long-term, rigorous follow-up.

Prognostic factors based on histological categorization of desmoplastic reactions in pancreatic cancer.

In colorectal cancer, the morphological categorization of fibrotic cancer stroma in the invasive frontal zone of the primary tumor is well reflected in the prognosis. Conversely, the histological characteristics of pancreatic cancer (PC) reveal fibrotic hyperplasia of stroma known as desmoplasia; however, its characterization is unknown. Therefore, this study aimed to evaluate the prognostic factors according to the histological categorization of desmoplastic reactions in PC. We retrospectively enrolled 167 patients who underwent curative resection for PC. The desmoplastic pattern was histologically classified as mature, intermediate, or immature. Clinicopathological features were evaluated, and disease-free and overall survival (OS) were analyzed in the three groups. Prognostic factors were assessed using univariate and multivariate analyses. In total, 19 mature, 87 intermediate, and 61 immature desmoplastic patterns were evaluated. Jaundice decompression, white blood cell count, and platelet/lymphocyte ratio were significantly different among the groups. The mature group had a better disease-free survival (DFS) prognosis than the other two groups; however, OS did not differ between the groups. Desmoplastic patterns showed significant differences between the three groups for DFS. Desmoplastic patterns are a prognostic factor of DFS for PC, with mature desmoplastic reactions associated with good prognosis. Thus, they may aid in individualized therapeutic approaches in patients with PC.

Cuproptosis Related Gene DLD Associated with Poor Prognosis and Malignant Biological Characteristics in Lung Adenocarcinoma.

Cuproptosis plays a crucial role in the biological function of cells. The subject of this work was to analyze the effects of cuproptosis-related genes (CRGs) on the prognosis and biological function in lung adenocarcinoma (LUAD). In this study, RNA sequencing and clinical data of LUAD samples were screened from public databases and our institution. A CRG signature was identified by least absolute shrinkage and selection operator and Cox regression. In addition, this study analyzed the correlation between prognostic CRGs and clinicopathological features. Finally, this study studied the effect of inhibiting dihydrolipoamide dehydrogenase (DLD) expression on cell biological function. There were 10 CRGs that showed differential expression between LUAD and normal tissues (p<0.05). A prognostic signature (DLD and lipoyltransferase 1 [LIPT1]) was constructed. Survival analysis suggested that patients with LUAD in the high-risk group had shorter overall survival (OS) (p<0.05). High expression of DLD and low expression of LIPT1 were significantly associated with shorter OS (p<0.05). Immunohistochemical analysis revealed that, in LUAD tissues, DLD was highly expressed, whereas LIPT1 was not detected. Finally, inhibition of DLD expression could significantly restrain cell proliferation, invasion and migration. Overall, this prognostic CRG signature may play a pivotal role in LUAD outcome, while oncogene DLD may be a future therapeutic candidate for LUAD.

Surgical outcomes and prognosis of intracorporeal versus extracorporeal esophagojejunostomy after laparoscopic total gastrectomy for gastric cancer: a propensity score-matching study.

This study compared the surgical outcomes and long-term prognosis of intracorporeal and extracorporeal esophagojejunostomy after laparoscopic total gastrectomy (LTG) for gastric cancer patients. In total 228 clinical stage I gastric cancer patients undergoing LTG were enrolled from January 2012 and December 2022. Each case in the totally laparoscopic total gastrectomy (TLTG) group was 1:1 propensity score-matched to control cases in the laparoscopy-assisted total gastrectomy (LATG) group. In total, 95 and 93 LATG and TLTG patients were included after propensity score matching (PSM). Clinicopathological features, surgical outcomes, and survival variables were compared, and risk factors for postoperative complications were analyzed. Patient characteristics were well balanced between the LATG and TLTG groups after PSM. The TLTG group showed less blood loss, decreased frequency of analgesic use, and shorter duration of analgesic use. The TLTG group had significantly lower rates of intestinal obstruction and surgical site infection. Larger tumor size and advanced pTNM stage were independent risk factors for postoperative complications. There was no significant difference in overall survival (OS). Compared with LATG, TLTG was associated with better surgical outcomes and fewer postoperative surgical complications in gastric cancer patients although there was no significant difference in OS.

Synchronous cemento-ossifying fibromas: a systematic review.

This systematic review aimed to incorporate published data regarding synchronous cemento-ossifying fibromas (COF), with an analysis of their demographic and clinicopathological characteristics. Case reports and case series of synchronous COF were searched in PubMed, Web of Science, Scopus, EMBASE, and LILACS according to the PRISMA (2020) statement. Also, a manual search was carried out and the grey literature was assessed. A descriptive statistical analysis was performed. Nineteen studies comprising 20 cases of synchronous COF were included. The mean age at diagnosis was 35 years (±13.8), with a predominance of female patients (n=12/60%). In 13 cases (65%) the mandible and the maxilla were affected simultaneously. In two cases (10%) first-degree relatives (parents or siblings) had been previously diagnosed with COF. The diagnostic hypotheses were reported in 8 cases (40%), with florid cemento-osseous dysplasia, ameloblastic fibroodontoma, calcifying cystic odontogenic tumor, osteoma and cementoblastoma being cited in the differential diagnosis. Among the cases with details about management (n=17), eleven were treated by surgical enucleation and/or excision (64.7%). Follow-up was provided for 10 cases (50%), with a mean period of 44.7±62.19 months. Recurrence occurred in three of informed cases. Synchronous manifestation of COF is rare. Female patients around the 3rd decade of life are more commonly affected. Bilateral involvement of the mandible and maxilla is the most common clinical presentation.

Correlation of PD-L1 expression with different clinico-pathological and immunohistochemical features of ovarian surface epithelial tumors.

Primary carcinoma of the ovary (OCs) are responsible for a significant number of deaths related to cancer, and have the highest rate of death related to cancers of the female reproductive organs. Programmed cell death 1 (PD1) protein, acts as an immune checkpoint, and has an important role in the down-regulation of the immune system by preventing the activation of T-cells, which will weaken the autoimmunity and increases self-tolerance. This study aimed at the evaluation of the immunohistochemical (IHC) expression of PD-L1 in various primary surface ovarian epithelial tumours and to test its correlation with different clinicopathological parameters together with the expression of a panel of P53, ER and PR. A set of 102 cases of primary ovarian surface epithelial neoplasms (benign, borderline and malignant) were collected to construct Tissue Microarray (TMA) using 3 tissue cores from each case. IHC for PD-L1, p53, PR and ER was performed. The expression of PD-L1 was evaluated in relation to some clinicopathological parameters and to the expression patterns of other markers. Expression of PD-L1 was detected in about 51% (n = 36) of malignant tumours. The malignant group significantly showed PD-L1 positivity compared to borderline and benign groups. The malignant tumours significantly showed PD-L1 and total p53 positivity in comparison to borderline group. Also, malignant tumours significantly showed higher combined positivity of PD-L1 and either PR or ER compared to borderline and benign lesions. No significant correlation was appreciated between PD-L1 expression and with any of the studied clinicopathological parameters. This study showed a significant PD-L1 expression in malignant primary surface epithelial tumours. Construction of a panel of IHC markers, including PD-L1, could have a potential value to define patients those would benefit from the addition of immunotherapy to the treatment plan.

Long-term Outcomes of Salvage Surgery Versus Induction Therapy Followed by Surgical Resection for Advanced NSCLC: A Propensity Score-matched Analysis.

The outcomes of lung cancer treatment have improved over time. However, in contrast to other treatments, the clinical outcomes of salvage surgery are seldom reported because the follow-up periods after salvage surgery are short. We conducted a comprehensive study involving consecutive patients who underwent salvage surgery at two different institutions. Our analysis encompassed the exploration of clinicopathological features, perioperative variables, and surgical outcomes. Additionally, we employed propensity score matching to compare the long-term survival of patients with non-small cell lung cancer (NSCLC) who underwent salvage surgery with those who received induction chemoradiotherapy prior to surgery. Twenty-five patients underwent salvage procedures, while 113 patients received induction chemotherapy followed by surgery during the same study period. When assessing the overall survival (OS) from the registration date to the initial treatment date, the five-year OS rates were 73.8% in the induction group and 70.5% in the salvage surgery group (p=0.674). No significant differences were identified between the two groups in a cohort of 48 patients with NSCLC who were matched using propensity scores. In patients who underwent salvage surgery, reasonable long-term survival was achieved with outcomes comparable to those of induction chemotherapy followed by surgical resection.

A New Ferroptosis-Related Long Non-Coding RNA Risk Model Predicts the Prognosis of Patients With Papillary Thyroid Cancer.

Ferroptosis is a novel form of regulated cell death that involves in cancer progression. However, the role of ferroptosis-related long non-coding RNAs (lncRNAs) in papillary thyroid cancer (PTC) remains to be elucidated. The purpose of this paper was to clarify the prognostic value of ferroptosis-related lncRNAs in PTC. The transcriptome data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) database. The correlation between ferroptosis-related genes (FRGs) and lncRNA was determined using Pearson correlation analysis. Multivariate Cox regression model (P < 0.01) was performed to establish a ferroptosis-related lncRNAs risk model. Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, risk curve and nomograms were then performed to assess the accuracy and clinical applicability of prognostic models. The correlations between the prognosis model and clinicopathological variables, immune and m6A were analyzed. Finally, in vitro assays were performed to verify the role of LINC00900, LINC01614 and PARAL1 on the proliferation, migration and invasion in TPC-1 and BCPAP cells, as well as the relationship between three lncRNAs and ferroptosis. A five-ferroptosis-related lncRNAs (PARAL1, LINC00900, DPH6-DT, LINC01614, LPP-AS2) risk model was constructed. Based on the risk score, samples were divided into the high- and low-risk groups. Patients in the low-risk group had better prognosis than those in high-risk group. Compared to traditional clinicopathological features, risk score was more accurate in predicting prognosis in patients with PTC. Additionally, the difference of immune cell, function and checkpoints was observed between two groups. Moreover, experiments showed that LINC00900 promoted the proliferation, migration and invasion in TPC-1 and BCPAP cells, while LINC01614 and PARAL1 revealed opposite effects, all of which were related to ferroptosis. In summary, we identified a five-ferroptosis-related lncRNAs risk model to predict the prognosis of PTC. Furthermore, our study also revealed that LINC00900 functioned as a tumor suppressor lncRNA, LINC01614 and PARAL1 as an oncogenic lncRNA in PTC.

Prognostic Value of Fatty Acid Metabolism-related Genes in Patients with Bladder Cancer.

This study aimed to explore the expression profiles of fatty acid metabolism- related genes (FAMRGs) in patients with bladder cancer (BLCA). The corresponding clinicopathological features of BLCA patients and RNA sequencing data were downloaded from TCGA and GSE13507. Univariate Cox regression was used to determine the prognostic value of FRGS in BLCA patients. LASSO regression analysis was then performed to select potential risk genes and eliminate genes that might overfit the model. Based on the independent prognostication-related FRGs, the nomogram survival model was established using the root mean square value of the R packet to predict the 1-year, 3-year, and 5-year survival rates of BLCA patients. By determining the area under the curve (AUC) value, the time-dependent receiver operating characteristic curve (ROC) was used to evaluate the prognostic efficiency of our model. A total of 243 DEFRGs were identified. Twenty FRGs were found to be related to the prognosis of BLCA in the TCGA database. Survival curves showed that high-risk patients had significantly shorter OS than low-risk cases (p < 0.001). The AUC of risk was 0.784, which was superior to age, sex, and stage, suggesting that the risk score was more favorable in predicting OS than traditional pathologic prognostic factors. The AUC was 0.757 at 1 year, 0.732 at 3 years, and 0.733 at 5 year-OS. In this study, we demonstrated that a FAMRG prognosis biomarker is associated with the tumor immune microenvironment in patients with BLCA.

Identification of DNA Repair-related Genes as Biomarkers Reflecting MSI, TMB, and TIL in Colorectal Cancer.

There are no established biomarkers for immune checkpoint inhibitors (ICI) in colorectal cancer (CRC) with microsatellite stability (MSS) or proficient mismatch repair (pMMR). Therefore, this study aimed to identify biomarkers for ICI benefit in patients with pMMR by analyzing the down-regulated DNA repair-related genes involved in highly immunogenic and immune responses, and comparing their expression levels and clinical features. Mismatch repair (MMR), tumor-infiltrating lymphocytes (TIL), and tumor mutation burden (TMB) were evaluated in 13 CRC cases and mRNA expression levels of 95 DNA repair-related genes were measured. DNA repair-related genes with reduced mRNA expression in the high immunogenicity and high immune response groups were identified. Then, the mRNA expression levels of the identified DNA repair-related genes were measured in 135 patients with CRC. Hierarchical cluster analysis was performed using the mRNA expression levels to compare the clinicopathological characteristics of each cluster. ATR, LIG4, and RAD52 mRNA levels were significantly down-regulated in the high immunogenicity group. GADD45B, SMUG1, and XRCC6 mRNA levels were significantly down-regulated in the high immune response group. Cases in the cluster with reduced mRNA expression of the six genes were pMMR cases. CD8 mRNA expression level was higher in this cluster than in the other clusters. Decreased mRNA expression levels of ATR, LIG4, RAD52, GADD45B, SMUG1, and XRCC6 genes were associated with high cytotoxic T cell and TMB levels, suggesting that these genes could serve as biomarkers for ICI efficacy in pMMR cases.

Co-Occurring Driver Genomic Alterations in Advanced Non-Small-Cell Lung Cancer (NSCLC): A Retrospective Analysis

Background: Actionable driver mutations account for 40–50% of NSCLC cases, and their identification clearly affects treatment choices and outcomes. Conversely, non-actionable mutations are genetic alterations that do not currently have established treatment implications. Among co-occurring alterations, the identification of concurrent actionable genomic alterations is a rare event, potentially impacting prognosis and treatment outcomes. Methods: We retrospectively evaluated the prevalence and patterns of concurrent driver genomic alterations in a large series of NSCLCs to investigate their association with clinicopathological characteristics, to assess the prognosis of patients whose tumor harbors concurrent alterations in the genes of interest and to explore their potential therapeutic implications. Results: Co-occurring driver alterations were identified in 26 out of 1520 patients with at least one gene alteration (1.7%). Within these cases, the incidence of concurrent actionable gene alterations was 39% (0.7% of the overall cohort). Among compound actionable gene mutations, EGFR was the most frequently involved gene (70%). The most frequent association was EGFR mutations with ROS1 rearrangement. Front-line targeted treatments were the preferred approach in patients with compound actionable mutations, with dismal median PFS observed (6 months). Conclusions: Advances in genomic profiling technologies are facilitating the identification of concurrent mutations. In patients with concurrent actionable gene alterations, integrated molecular and clinical data should be used to guide treatment decisions, always considering rebiopsy at the moment of disease progression.

Clinicopathological features and prognostic analysis of synchronous mucinous metaplasia and neoplasia of the female genital tract

Objective: Synchronous mucinous metaplasia and neoplasia of the female genital tract (SMMN-FGT) occurring at multiple sites during the same period of time is extremely rare, and the aim of this study was to investigate the clinicopathologic features of SMMN-FGT and its relationship with prognosis. Methods: We retrospectively analyzed the clinicopathological features and follow-up records of 25 cases of SMMN-FGT diagnosed from January 2012 to October 2022 in the case database of Obstetrics and Gynecology Hospital of Fudan University. Results: The mean and median age at onset were 47 and 46 years old, respectively. Clinical manifestations included irregular vaginal bleeding or drainage, pelvic pain, and ovarian cysts, etc. Germline genetic test confirmed Peutz-Jeghers syndrome (P-J syndrome) in two patients. All patients underwent surgery, and some had postoperative adjuvant radiotherapy and/or chemotherapy. The most frequent site of lesion was the cervix (21 cases), with 11, 10 and 16 cases occurring in the endometrium, fallopian tubes and ovaries, respectively. Six cases involved three sites simultaneously, and only one case had all four sites involved at the same time. Among the 9 cases with P53 mutation phenotype, 6 cases had gastric-type mucinous adenocarcinoma, 2 cases had lobular endocervical glandular hyperplasia, and 1 case had mucinous adenocarcinoma, whereas all the minimally deviated adenocarcinomas had wild phenotype of P53. The median follow-up time was 59 months, during which 3 cases died and 6 cases developed local recurrence or distant metastasis. According to our analysis, postoperative recurrence or metastasis was correlated with the FIGO stage of the disease, the number of lesion sites and the severe degree of the uterine lesions (P＜0.05). Conclusions: SMMN-FGT had a relatively good clinical prognosis, and even advanced patients could benefit from surgery and adjuvant therapy. In young patients, the ovaries may be preserved if no evidence of lesions were seen after adequate evaluation. In SMMN-FGT, gastric-type mucinous adenocarcinoma occurring in the cervix may have a better prognosis than gastric-type mucinous adenocarcinoma of the cervix alone, so the accurate diagnosis of SMMN-FGT is critical for clinical management.

Thin Amelanotic and Hypomelanotic Melanoma: Clinicopathological and Dermoscopic Features

Background and Objectives: Amelanotic/hypomelanotic melanomas (AHMs) account for 2–8% of all cutaneous melanomas. Due to their clinical appearance and the lack of specific dermoscopic indicators, AHMs are challenging to diagnose, particularly in thinner cutaneous lesions. The aim of our study was to evaluate the clinicopathological and dermoscopic features of thin AHMs. Identifying the baseline clinical–pathological features and dermoscopic aspects of thin AHMs is crucial to better understand this entity. Materials and Methods: We divided the AHM cohort into two groups based on Breslow thickness: thin (≤1.00 mm) and thick (&gt;1.00 mm). This stratification helped identify any significant clinicopathological differences between the groups. For dermoscopic analysis, we employed the “pattern analysis” approach, which involves a simultaneous and subjective assessment of different criteria. Results: Out of the 2.800 melanomas analyzed for Breslow thickness, 153 were identified as AHMs. Among these, 65 patients presented with thin AHMs and 88 with thick AHMs. Red hair color and phototype II were more prevalent in patients with thin AHMs. The trunk was the most common anatomic site for thin AHMs. Patients with thin AHMs showed a higher number of multiple melanomas. Dermoscopic analysis revealed no significant difference between thin AHMs and thick AHMs, except for a more frequent occurrence of residual reticulum in thin AHMs. Conclusions: Thin AHMs typically affect individuals with lower phototypes and red hair color. These aspects can be related to the higher presence of pheomelanin, which provides limited protection against sun damage. This also correlates with the fact that the trunk, a site commonly exposed to intermittent sun exposure, is the primary anatomical location for thin AHMs. Multiple primary melanomas are more common in patients with thin AHMs, likely due to an intrinsic predisposition as well as greater periodic dermatologic follow-ups in this class of patients. Apart from the presence of residual reticulum, no other significant dermoscopic differences were observed, complicating the differential diagnosis between thin and thick AHMs based on dermoscopy alone.

A stemness-based signature with inspiring indications in discriminating the prognosis, immune response, and somatic mutation of endometrial cancer patients revealed by machine learning.

Endometrial cancer (EC) is a fatal gynecologic tumor. Bioinformatic tools are increasingly developed to screen out molecular targets related to EC. Our study aimed to identify stemness-related prognostic biomarkers for new therapeutic strategies in EC. In this study, we explored the prognostic value of cancer stem cells (CSCs), characterized by self-renewal and unlimited proliferation, and its correlation with immune infiltrates in EC. Transcriptome and somatic mutation profiles of EC were downloaded from TCGA database. Based on their stemness signature and DEGs, EC patients were divided into two subtypes via consensus clustering, and patients in Stemness Subtype I presented significantly better OS and DFS than Stemness Subtype II. Subtype I also displayed better clinicopathological features, and genomic variations demonstrated different somatic mutation from subtype II. Additionally, two stemness subtypes had distinct tumor immune microenvironment patterns. In the end, three machine learning algorithms were applied to construct a 7-gene stemness subtype risk model, which were further validated in an external independent EC cohort in our hospital. This novel stemness-based classification could provide a promising prognostic predictor for EC and may guide physicians in selecting potential responders for preferential use of immunotherapy. This novel stemness-dependent classification method has high value in predicting the prognosis, and also provides a reference for clinicians in selecting sensitive immunotherapy methods for EC patients.