Independent Predictor Of Disease-free Survival Research Articles

Prognostic impact of osteosarcopenia in patients undergoing pancreatic resection for pancreatic ductal adenocarcinoma.

We investigated the prognostic impact of osteosarcopenia, defined as the combination of osteopenia and sarcopenia, in patients undergoing pancreatic resection for pancreatic ductal adenocarcinoma (PDAC). The relationship of osteosarcopenia with disease-free survival and overall survival was analyzed in 183 patients who underwent elective pancreatic resection for PDAC. Computed tomography was used to measure the pixel density in the midvertebral core of the 11th thoracic vertebra for evaluation of osteopenia and in the psoas muscle area of the 3rd lumbar vertebra for evaluation of sarcopenia. Osteosarcopenia was defined as the simultaneous presence of both osteopenia and sarcopenia. The study employed a retrospective design to examine the relationship between osteosarcopenia and survival outcomes. Osteosarcopenia was identified in 61 (33%) patients. In the univariate analysis, disease-free survival was significantly worse in patients with male sex (p = 0.031), pathological stage ≥ III PDAC (p = 0.001), NLR, ≥ 2.71 (p = 0.041), sarcopenia (p = 0.027), osteopenia (p = 0.001), and osteosarcopenia (p < 0.001), and overall survival was significantly worse in patients with male sex (p = 0.001), pathological stage ≥ III PDAC (p = 0.001), distal pancreatectomy (p = 0.025), sarcopenia (p = 0.003), osteopenia (p < 0.001), and osteosarcopenia (p < 0.001). In the multivariate analysis, the independent predictors of disease-free survival were osteosarcopenia (p < 0.001) and pathological stage ≥ III PDAC (p = 0.002), and the independent predictors of overall survival were osteosarcopenia (p < 0.001), male sex (p = 0.006) and pathological stage ≥ III PDAC (p = 0.001). Osteosarcopenia has an adverse prognostic impact on long-term outcomes in patients undergoing pancreatic resection for PDAC.

Efficacy of adjuvant capecitabine in residual triple negative breast cancer: a multicenter observational Turkish Oncology Group (TOG) study

ABSTRACT Background Triple negative breast cancer (TNBC) is characterized by high rates of recurrence, especially in patients with residual disease after neoadjuvant chemotherapy (NAC). Capecitabine is being used as standard adjuvant treatment in residual TNBC. We aimed to investigate the real-life data regarding the efficacy of capecitabine in residual TNBC. Design and methods In this retrospective multicenter study, TNBC patients with residual disease were evaluated. Patients, who received standard anthracycline and taxane-based NAC and adjuvant capecitabine were eligible. Overall survival (OS), disease free survival (DFS) and toxicity were analyzed. Results 170 TNBC patients with residual disease were included. Of these, 62.9% were premenopausal. At the time of analysis, the recurrence rate was 30% and death rate was 18%. The 3-year DFS and OS were 66% and 74%, respectively. In patients treated with adjuvant capecitabine, residual node positive disease stood out as an independent predictor of DFS (p = 0.024) and OS (p = 0.032). Undergoing mastectomy and the presence of T2 residual tumor was independent predictors of DFS (p = 0.016) and OS (p = 0.006), respectively. Conclusion The efficacy of capecitabine was found lower compared to previous studies. Selected patients may have further benefit from addition of capecitabine. The toxicity associated with capecitabine was found lower than anticipated.

Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach.

Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically quantify BC from computed tomography (CT) scans. We developed a deep learning (DL) model for fully automatic BC quantification on routine staging CTs and determined its prognostic role in a clinical cohort of patients with GEAC. We developed and tested a DL model to quantify BC measures defined as subcutaneous and visceral adipose tissue (VAT) and skeletal muscle on routine CT and investigated their prognostic value in a cohort of patients with GEAC using baseline, 3-6-month, and 6-12-month postoperative CTs. Primary outcome was all-cause mortality, and secondary outcome was disease-free survival (DFS). Cox regression assessed the association between (1) BC at baseline and mortality and (2) the decrease in BC between baseline and follow-up scans and mortality/DFS. Model performance was high with Dice coefficients ≥0.94 ± 0.06. Among 299 patients with GEAC (age 63.0 ± 10.7 years; 19.4% female), 140 deaths (47%) occurred over a median follow-up of 31.3 months. At baseline, no BC measure was associated with DFS. Only a substantial decrease in VAT >70% after a 6- to 12-month follow-up was associated with mortality (hazard ratio [HR], 1.99 [95% CI, 1.18 to 3.34]; P = .009) and DFS (HR, 1.73 [95% CI, 1.01 to 2.95]; P = .045) independent of age, sex, BMI, Union for International Cancer Control stage, histologic grading, resection status, neoadjuvant therapy, and time between surgery and follow-up CT. DL enables opportunistic estimation of BC from routine staging CT to quantify prognostic information. In patients with GEAC, only a substantial decrease of VAT 6-12 months postsurgery was an independent predictor for DFS beyond traditional risk factors, which may help to identify individuals at high risk who go otherwise unnoticed.

Locoregional recurrence and survival of breast-conserving surgery compared to mastectomy following neoadjuvant chemotherapy in operable breast cancer.

The risk of locoregional recurrence (LRR) and the long-term prognosis of breast-conserving surgery (BCS) after neoadjuvant chemotherapy (NAC) are still controversial. This study aimed to evaluate oncological outcomes for patients undergoing BCS after NAC and determine LRR and survival predictors. This study was a retrospective cohort study of patients with locally advanced breast cancer (LABC) who received NAC and underwent BCS or mastectomy from June 2011 to November 2020. LRR, disease-free survival (DFS), and overall survival (OS) were compared in patients undergoing BCS or mastectomy. Univariate and multivariate analyses were performed to determine LRR, DFS, and OS predictors. A total of 585 patients were included, of whom 106 (18.1%) underwent BCS and 479 (81.9%) underwent a mastectomy. The LRR rate was 11.3% in the BCS group and 16.3% in the mastectomy group, revealing no significant difference(p = 0.200). In patients who underwent BCS, clinical lymph node status, histological grade and pathological complete response (pCR) were independent factors to predict LRR. There was no significant difference in DFS and OS between the BCS and the mastectomy groups. Multivariable analysis showed that lymph node status, histological grade, molecular subtypes, pCR and Miller&Payne (M&P) classification were independent predictors of DFS. Lymph node status, molecular subtypes and pCR were independent predictors of OS. BCS or mastectomy was not an independent predictor of DFS or OS. Compared with mastectomy, BCS after NAC may not increase the risk of local recurrence or mortality, BCS can be performed in selected patients with small tumor size and good response to NAC.

Prognostic usefulness of the C-reactive protein-albumin-lymphocyte (CALLY) index as a novel biomarker in patients undergoing colorectal cancer surgery

BackgroundThe C-reactive protein (CRP)–albumin–lymphocyte (CALLY) index is a novel immuno-nutritional biomarker based on the levels of CRP, serum albumin, and lymphocyte count. This study examined the prognostic value of the CALLY index in patients with colorectal cancer undergoing curative surgery. MethodsBetween 2010 and 2017, 578 patients with stage II-III colorectal cancer who underwent curative resection were enrolled. The CALLY index was defined as (albumin × lymphocyte)/(CRP × 104). We investigated the association of the CALLY index with disease-free survival (DFS) and overall survival (OS). ResultsThe cutoff value of the CALLY index was determined to be 2. Of the 578 patients, 175 (30%) had a preoperative CALLY index <2. In multivariate analysis, the pre-operative carcinoembryonic antigen (CEA) level (p = 0.003), cell differentiation (p = 0.045), venous invasion (p = 0.036), Tumor-Node-Metastasis stage (p < 0.001), and CALLY index score <2 (p = 0.006) were independent predictors of DFS. Meanwhile, preoperative carbohydrate antigen (CA)19-9 levels (p = 0.019), lymphatic invasion (p = 0.018), preoperative platelet (p = 0.037), and CALLY index score <2 (p = 0.007) were independent predictors of OS. ConclusionThe CALLY index may be an independent prognostic biomarker for long-term outcomes in patients with colorectal cancer.

C-Reactive Protein-Albumin Ratio (CAR): A More Promising Inflammation-Based Prognostic Marker for Patients Undergoing Curative Hepatectomy for Hepatocellular Carcinoma.

Systemic inflammatory response is a hallmark of cancer and plays a significant role in the development and progression of various malignant tumors. This research aimed to estimate the prognostic function of the C-reactive protein-albumin ratio (CAR) in patients undergoing hepatectomy for hepatocellular carcinoma (HCC) and compare it with other inflammation-based prognostic scores, including the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, systemic immune inflammation index, prognostic index, Glasgow prognostic score, and modified Glasgow prognostic score. Retrospective analysis was conducted on data from 1039 HCC cases who underwent curative liver resection. The prognostic performance of CAR was compared with other scores using the area under the time-dependent receiver operating characteristic (t-ROC) curve. Multivariable Cox regression analyses were performed to confirm independent predictors for disease-free survival (DFS) and overall survival (OS). The area under the t-ROC curve for CAR in the evaluation of DFS and OS was significantly greater than that of other scores and alpha-fetoprotein (AFP). Patients were stratified based on the optimal cut-off value of CAR, and the data revealed that both DFS and OS were remarkably worse in the high-CAR set compared to the low-CAR set. Multivariable Cox analysis demonstrated that CAR was an independent prognostic parameters for assessing DFS and OS. Regardless of AFP levels, all patients were subsequently divided into significantly different subgroups of DFS and OS based on CAR risk stratification. Similar results were observed when applying CAR risk stratification to other scoring systems. CAR also showed good clinical applicability in patients with different clinical features. CAR is a more effective inflammation-based prognostic marker than other scores and AFP in predicting DFS as well as OS among patients with HCC after curative hepatectomy.

Upregulation of CCNB2 and a novel lncRNAs-related risk model predict prognosis in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is the main type of renal cell carcinoma. Cyclin B2 (CCNB2) is a subtype of B-type cyclin that is associated with the prognosis of several cancers. This study aimed to identify the relationship between CCNB2 and progression of ccRCC and construct a novel lncRNAs-related model to predict prognosis of ccRCC patients.MethodsThe data were obtained from public databases. We identified CCNB2 in ccRCC using Kaplan–Meier survival analysis, univariate and multivariate Cox regression, and Gene Ontology analysis. External validation was then performed. The risk model was constructed based on prognostic lncRNAs by the LASSO algorithm and multivariate Cox regression. Receiver operating characteristics (ROC) curves were used to evaluate the model. Consensus clustering analysis was performed to re-stratify the patients. Finally, we analyzed the tumor-immune microenvironment and performed screening of potential drugs.ResultsCCNB2 associated with late clinicopathological parameters and poor prognosis in ccRCC and was an independent predictor for disease-free survival. In addition, CCNB2 shared the same expression pattern with known suppressive immune checkpoints. A risk model dependent on the expression of three prognostic CCNB2-related lncRNAs (SNHG17, VPS9D1-AS1, and ZMIZ1-AS1) was constructed. The risk signature was an independent predictor of ccRCC. The area under the ROC (AUC) curve for overall survival at 1-, 3-, 5-, and 8-year was 0.704, 0.702, 0.741, and 0.763. The high-risk group and cluster 2 had stronger immunogenicity and were more sensitive to immunotherapy.ConclusionCCNB2 could be an important biomarker for predicting prognosis in ccRCC patients. Furthermore, we developed a novel lncRNAs-related risk model and identified two CCNB2-related molecular clusters. The risk model performed well in predicting overall survival and immunological microenvironment of ccRCC.

Predictors of recurrence in breast cancer patients with pathological partial response.

Patients with residual disease after neoadjuvant chemotherapy have a relative risk of developing recurrence. This study investigates the risk factors for recurrence in locally advanced breast cancer patients with residual disease and evaluates survival analysis. This is a retrospective, single-center study. Breast cancer patients who failed to achieve a pathological complete response after neoadjuvant chemotherapy were included. Demographic, clinicopathological, and treatment characteristics were evaluated to identify predictive factors of recurrence and survival analysis. We included 205 patients in this study. After a median of 31 months of follow-up, 10 patients died, and 20 developed distant metastasis. Disease-free survival and disease-specific survival were 73.8% and 83.1%, respectively. Lymphovascular invasion and non-luminal subtype were independent predictors of locoregional recurrence. In situ carcinoma, lymphovascular invasion, ypTIII stage, and non-luminal molecular subtypes were independent predictors of disease-free survival. The only independent factor affecting disease-specific survival was cNII-III. The number of involved lymph nodes was an independent predictor of disease-free survival in patients without complete axillary response. Factors affecting disease-specific survival and disease-free survival were cNII-III and the number of involved lymph nodes, respectively. Patients with non-luminal, large residual tumors with in situ carcinoma, lymphovascular invasion, clinically positive axilla, and residual nodal involvement have a high relative risk for recurrence and may benefit from additional treatments.

[The expression of Plakoglobin in residual cancer after neoadjuvant chemotherapy for breast cancer and its prognostic impact on patients].

Objective: To investigate the relationship between the expression levels of Plakoglobin protein in residual lesions after neoadjuvant chemotherapy (NAC) and the prognosis of breast cancer patients. Methods: Clinical and pathological data from 174 breast cancer patients who underwent surgery after receiving NAC at the Cancer Hospital of Chinese Academy of Medical Sciences from January 2009 to December 2017 were collected. The expression level of Plakoglobin in residual cancer lesions was evaluated by immunohistochemistry. The correlation between Plakoglobin expression level and clinicopathological features was analyzed. Survival analysis was performed using the Kaplan-Meier method, and Cox proportional hazard regression models were used for factor analysis. Results: Among the 174 patients, 140 had low expression of Plakoglobin, and 34 had high expression. The median disease-free survival (DFS) and overall survival (OS) in the Plakoglobin low expression group were 59.46 and 71.68 months, respectively, both of which were higher than those in the high expression group (36.58 and 47.26 months, respectively, both P<0.05). Univariate analysis showed that Plakoglobin expression, pathological N stage, lymphovascular invasion status, histological grade, Ki-67, and molecular subtypes were associated with OS (all P<0.05), while pathological N stage, histological grade, and Ki-67 were associated with DFS (all P<0.05). Multivariate analysis revealed that Plakoglobin expression (HR=2.438, 95% CI: 1.256-4.735, P=0.008) was an independent predictor for OS, and Ki-67 (HR=2.228, 95% CI: 1.316-3.773, P=0.003) was an independent predictor for DFS. Conclusion: In breast cancer patients with residual lesions after NAC, those with low Plakoglobin expression have relatively longer OS and Plakoglobin is an independent prognostic factor for OS.

Prediction of macrotrabecular-massive hepatocellular carcinoma by using MR-based models and their prognostic implications.

To evaluate the efficacy of MRI-based radiomics and clinical models in predicting MTM-HCC. Additionally, to investigate the ability of the radiomics model designed for MTM-HCC identification in predicting disease-free survival (DFS) in patients with HCC. A total of 336 patients who underwent oncological resection for HCC between June 2007 and March 2021 were included. 127 patients in Cohort1 were used for MTM-HCC identification, and 209 patients in Cohort2 for prognostic analyses. Radiomics analysis was performed using volumes of interest of HCC delineated on pre-operative MRI images. Radiomics and clinical models were developed using Random Forest algorithm in Cohort1 and a radiomics probability (RP) of MTM-HCC was obtained from the radiomics model. Based on the RP, patients in Cohort2 were divided into a RAD-MTM-HCC (RAD-M) group and a RAD-non-MTM-HCC (RAD-nM) group. Univariate and multivariate Cox regression analyses were employed to identify the independent predictors for DFS of patients in Cohort2. Kaplan-Meier curves were used to compare the DFS between different groups pf patients based on the predictors. The radiomics model for identifying MTM-HCC showed AUCs of 0.916 (95% CI: 0.858-0.960) and 0.833 (95% CI: 0.675-0.935), and the clinical model showed AUCs of 0.760 (95% CI: 0.669-0.836) and 0.704 (95% CI: 0.532-0.843) in the respective training and validation sets. Furthermore, the radiomics biomarker RP, portal or hepatic vein tumor thrombus, irregular rim-like arterial phase hyperenhancement (IRE) and AFP were independent predictors of DFS in patients with HCC. The DFS of RAD-nM group was significantly higher than that of the RAD-M group (p < .001). MR-based clinical and radiomic models have the potential to accurately diagnose MTM-HCC. Moreover, the radiomics signature designed to identify MTM-HCC also can be used to predict prognosis in patients with HCC, realizing the diagnostic and prognostic aims at the same time.

CT radiomics in the identification of preoperative understaging in patients with clinical stage T1-2N0 esophageal squamous cell carcinoma.

Predicting preoperative understaging in patients with clinical stage T1-2N0 (cT1-2N0) esophageal squamous cell carcinoma (ESCC) is critical to customizing patient treatment. Radiomics analysis can provide additional information that reflects potential biological heterogeneity based on computed tomography (CT) images. However, to the best of our knowledge, no studies have focused on identifying CT radiomics features to predict preoperative understaging in patients with cT1-2N0 ESCC. Thus, we sought to develop a CT-based radiomics model to predict preoperative understaging in patients with cT1-2N0 esophageal cancer, and to explore the value of the model in disease-free survival (DFS) prediction. A total of 196 patients who underwent radical surgery for cT1-2N0 ESCC were retrospectively recruited from two hospitals. Among the 196 patients, 134 from Peking University Cancer Hospital were included in the training cohort, and 62 from Henan Cancer Hospital were included in the external validation cohort. Radiomics features were extracted from patients' CT images. Least absolute shrinkage and selection operator (LASSO) regression was used for feature selection and model construction. A clinical model was also built based on clinical characteristics, and the tumor size [the length, thickness and the thickness-to-length ratio (TLR)] was evaluated on the CT images. A radiomics nomogram was established based on multivariate logistic regression. The diagnostic performance of the models in predicting preoperative understaging was assessed by the area under the receiver operating characteristic curve (AUC). Kaplan-Meier curves with the log-rank test were employed to analyze the correlation between the nomogram and DFS. Of the patients, 50.0% (67/134) and 51.6% (32/62) were understaged in the training and validation groups, respectively. The radiomics scores and the TLRs of the tumors were included in the nomogram. The AUCs of the nomogram for predicting preoperative understaging were 0.874 [95% confidence interval (CI): 0.815-0.933] in the training cohort and 0.812 (95% CI: 0.703-0.912) in the external validation cohort. The diagnostic performance of the nomogram was superior to that of the clinical model (P<0.05). The nomogram was an independent predictor of DFS in patients with cT1-2N0 ESCC. The proposed CT-based radiomics model could be used to predict preoperative understaging in patients with cT1-2N0 ESCC who have undergone radical surgery.

Family history of malignant or benign thyroid tumors: implications for surgical procedure management and disease-free survival.

Current guidelines lack a standardized management for patients with family history of thyroid carcinoma (fTC),particularly benign thyroid neoplasm (fBTN). Our objective was to investigate the influence of various family histories on the selection of surgical approaches and disease-free survival (DFS). A cohort study was conducted involving 2261 patients diagnosed with differentiated thyroid carcinoma including those with fTC (n=224), fBTN (n=122), and individuals without a family history of thyroid carcinoma (nfTC; n=1915). Clinicopathological characteristics were collected. DFS was estimated using Kaplan-Meier analysis and factors affecting DFS were identified using Cox proportional hazard model. Compared to nfTC, small tumor size, clinically lymph node-positive, extrathyroidal extension, vascular invasion, Hashimoto's disease and nodular goiter were more common in fTC and fBTN groups. They had lower T stage and a lower rate of good response to TSH suppression therapy but received more radioiodine therapy. It is worth noting that fTC is associated with male, bilateral and multifocal tumors, as well as central lymph node metastasis and distant metastasis. Both fTC (aHR = 2.45, 95% CI=1.11-5.38; P = 0.03) and fBTN (aHR = 3.43, 95% CI=1.27-9.29; P = 0.02) were independent predictors of DFS in patients who underwent lobectomy, but not total thyroidectomy. For 1-4cm thyroid carcinomas with clinically node-negative, fTC was identified as an independent predictor, whereas fBTN was not. Our findings indicate that a family history, particularly of malignancy, is associated with a more aggressive disease. Family history does not affect the prognosis of patients who undergo total thyroidectomy, but it may increase the risk of postoperative malignant events in those who have a lobectomy. Additionally, it may be necessary to monitor individuals with a family history of benign thyroid neoplasms.

Superior mesenteric vein/portal vein contact in preoperative imaging indicates biological malignancy in anatomically resectable pancreatic cancer

BackgroundPancreatic cancer in contact with the superior mesenteric vein/portal vein is classified as resectable pancreatic cancer; however, the biological malignancy and treatment strategy have not been clarified. MethodsData from 186 patients who underwent pancreatectomy for pancreatic cancer were evaluated using a prospectively maintained database. The patients were classified as having resectable tumors without superior mesenteric vein/portal vein contact and with superior mesenteric vein/portal vein contact of ≤180°. Disease-free survival, overall survival, and prognostic factors were analyzed. ResultsIn the univariate analysis, superior mesenteric vein/portal vein contact in resectable pancreatic cancer was a significant prognostic index for disease-free survival and overall survival. In the multivariate analysis for poor disease-free survival, the superior mesenteric vein/portal vein contact remained significant (hazard ratio = 2.13, 95% confidence interval: 1.29–3.51; p < 0.01). In the multivariate analysis, superior mesenteric vein/portal vein contact was a significant independent prognostic index for overall survival (hazard ratio = 2.17, 95% confidence interval: 1.27–3.70; p < 0.01), along with sex, tumor differentiation, nodal involvement, and adjuvant chemotherapy. Portal vein resection for superior mesenteric vein/portal vein contact did not improve the overall survival (p = 0.86). ConclusionsSuperior mesenteric vein/portal vein contact in resectable pancreatic cancer was found to be an independent predictor of disease-free survival and overall survival after elective resection. Thus, pancreatic cancer in contact with the superior mesenteric vein/portal vein may be considered as borderline resectable pancreatic cancer.

Prognostic model of ER-positive, HER2-negative breast cancer predicted by clinically relevant indicators.

To study the clinicopathological variables connected with disease-free survival (DFS) as well as overall survival (OS) in patients who are ER-positive or HER2-negative and to propose nomograms for predicting individual risk. In this investigation, we examined 585 (development cohort) and 291 (external validation) ER-positive, HER2-negative breast cancer patients from January 2010 to January 2014. From January 2010 to December 2014, we retrospectively reviewed and analyzed 291 (external validation) and 585 (development cohort) HER2-negative, ER-positive breast cancer patients. Cox regression analysis, both multivariate and univariate, confirmed the independence indicators for OS and DFS. Using cox regression analysis, both multivariate and univariate, the following variables were combined to predict the DFS of development cohort: pathological stage (HR = 1.391; 95% CI = 1.043-1.855; P value = 0.025), luminal parting (HR = 1.836; 95% CI = 1.142-2.952; P value = .012), and clinical stage (HR = 1.879; 95% CI = 1.102-3.203; P value = 0.021). Endocrine therapy (HR = 3.655; 95% CI = 1.084-12.324; P value = 0.037) and clinical stage (HR = 6.792; 95% CI = 1.672-28.345; P value = 0.009) were chosen as predictors of OS. Furthermore, we generated RS-OS and RS-DFS. According to the findings of Kaplan-Meier curves, patients who are classified as having a low risk have considerably longer DFS and OS durations than patients who are classified as having a high risk. To generate nomograms that predicted DFS and OS, independent predictors of DFS in ER-positive/HER2-negative breast cancer patients were chosen. The nomograms successfully stratified patients into prognostic categories and worked well in both internal validation and external validation.

The prognostic value of lymphatic metastatic size in head and neck squamous cell carcinoma.

Lymphatic metastatic size was proved to predict prognosis in different types of carcinomas, except in head and neck squamous cell carcinoma (HNSCC) located in hypopharynx, oropharynx and supraglottic region et al. The aim of this study is to evaluate the prognostic value of lymphatic metastatic size in HNSCC, which may guide clinical decision-making in practice. From 2008 to 2022, 171 patients, who were diagnosed as HNSCC in our center, were included. The demographic data, clinicopathological characteristics and lymphatic metastatic size were recorded and analyzed using the Kaplan-Meier method and Cox regression analysis. Among 171 patients, 107 cases were hypopharyngeal cancer, 38 cases supraglottic cancer and 26 cases oropharyngeal cancer. The median of lymphatic metastatic size was 8mm (range 0-46). According to lymphatic metastatic size, the patients were assigned to three subgroups: Group I (0mm), Group II ( ≤ 10mm) and Group III (> 10mm). Kaplan-Meier analysis with log rank test revealed that Group I and Group II had similar locoregional control rate, distant metastasis free probability, disease-free survival and overall survival (all p > 0.05), whereas Group III had significant worse prognosis. Adjusted for demographic and other clinicopathological characteristics, lymphatic metastatic size was an independent predictor of disease-free survival and overall survival in HNSCC. Lymphatic metastatic size was an independently prognostic factor in HNSCC, which may assist in postoperative adjuvant treatment decisions.

Margin to Depth of Invasion Ratio: A Significant Predictor of Survival in Patients With Oral Cancer.

A common definition of a clear margin (≥5 mm) in oral squamous cell carcinoma (OSCC) for all stages is a subject of controversy. Studies have shown that even 1- and 2-mm margins are adequate, and few studies have identified dynamic resection margin as a criterion. We aimed to study the margin to depth of invasion ratio (MDR), margin to tumor thickness ratio (MTR), and margin to tumor size ratio (MSR) as prognostic markers for survival. Notably, to our knowledge, this is the first study to evaluate the role of MDR in OSCC. A prospectively maintained head and neck cancer database was analyzed from January 2017 to February 2023. The MDR, MTR, and MSR were calculated for each patient. Survival outcomes were analyzed using the Cox proportional model and the Kaplan-Meier method. Akaike's information criterion (AIC) and Bayesian information criterion (BIC) were used to compare different ratio models. X-tiles software was used to identify the optimal cutoff value of MDR. Two hundred eighty patients in the database were assessed, of which 123 eligible patients were enrolled in the study. MDR was an independent predictor of disease-free survival (DFS) on multivariate analysis. The MDR model had the lowest values on AIC and BIC analyses. A cutoff value of 0.5 for MDR showed a significant correlation with DFS and overall survival. MDR was the best predictor of recurrence of all the three ratios studied. The minimum safe surgical margin can be calculated by multiplying the depth of invasion by 0.5. This study signifies the role of dynamic resection margin criteria on the basis of MDR in defining clear margins.

Triple-negative breast cancer: predictive model of early recurrence based on MRI features

To develop an integrated model based on preoperative magnetic resonance imaging (MRI) features for predicting early recurrence in patients with triple-negative breast cancer (TNBC). Women with TNBC who underwent breast MRI and surgery between 2009 and 2019 were evaluated retrospectively. Two breast radiologists reviewed MRI images independently based on the Breast Imaging Reporting and Data System Lexicon (BI-RADS), and classified the breast oedema scores on T2-weighted imaging (WI) as no oedema, peritumoural oedema, prepectoral oedema, or subcutaneous oedema. The relationship between disease-free survival (DFS) and MRI features was analysed by Cox regression, and a nomogram model was generated based on the results. 150 patients with TNBC were included and divided into a training cohort (n=78) and validation cohort (n=72). MRI features including subcutaneous oedema and rim enhancement showed a tendency to worsen DFS in univariate analysis. Multivariate analysis showed that subcutaneous oedema (p=0.049, HR [95% confidence interval {CI}=8.24 [1.01-67.52]) and rim enhancement (p=0.016, HR [95% CI]=4.38 [1.32-14.54]) were independent predictors for DFS. In the nomogram, the areas under the curves (AUCs) of the training cohort was 0.808, and that of the validation cohort was 0.875. The presence of subcutaneous oedema or rim enhancement on preoperative breast MRI was shown to be a good predictor of poor survival outcomes in patients with TNBC.

Searching for prognostic markers for Stage I epithelial ovarian cancer: A role for systemic inflammatory markers.

To determine the prognostic role of systemic inflammatory markers for Stage I epithelial ovarian cancer (EOC). We performed a retrospective, single-center, observational study. We included patients with Stage I EOC cancer undergoing primary surgery between 1993 and 2016. Inflammatory markers were assessed by analyzing blood samples collected at initial diagnosis before EOC surgery. We evaluated these markers' association with disease-free survival (DFS) and cancer-specific survival (CSS). We included 176 women in our study. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were related to both DFS and CSS in the univariate analysis. In the multivariate Cox analysis, adjuvant chemotherapy (hazard ratio [HR] 0.17, 95% confidence interval [CI] 0.04-0.71, P = 0.02) and SII ≥730 (HR 6.84, 95% CI 1.30-35.9, P = 0.023) were independent predictors of DFS, while FIGO Stage IB-IC (HR 7.91, 95% CI 1.04-59.8, P = 0.04), NLR ≥3 (HR 56.8, 95% CI 7.46-433, P < 0.001) and PLR ≥169 (HR 49.1 95% CI 11.1-217.8, P = 0.005) were independent predictors of CSS. Systemic inflammatory markers are easily obtainable from patients' routine blood analyses and may represent inexpensive and reproducible prognostic markers in early-stage EOC.

Preoperative alkaline phosphatase-to-platelet count ratio as a prognostic factor for hepatocellular carcinoma with microvascular invasion.

The association between platelet status and hepatocellular carcinoma (HCC) prognoses remains controversial. Herein, we aimed to clarify the prognostic value of multiple platelet-related biomarkers, including platelet count, platelet/lymphocyte ratio (PLR), aspartate aminotransferase to platelet ratio index (APRI), and alkaline phosphatase-to-platelet count ratio index (APPRI) in HCC with microvascular invasion (MVI) after curative resection or liver transplantation. A retrospective review of 169 patients with solitary HCC and MVI who underwent resection or liver transplantation between January 2015 and December 2018 was conducted. Preoperative clinical, laboratory, pathologic, and imaging data were collected and analyzed. Overall survival (OS) and disease-free survival (DFS) were defined as the clinical endpoints. Univariate and multivariate Cox proportional hazards regression analyses were conducted to investigate potential predictors of DFS and OS. Multivariate Cox regression analyses revealed that maximum tumor diameter, poor cell differentiation, and APPRI were independent predictors of DFS; while poor cell differentiation, APRI, APPRI, prothrombin time, and alpha-fetoprotein were independent prognostic factors for OS. The 1-, 3-, and 5-year DFS rates were 66.90%, 48.40%, and 37.40% for patients with APPRI ≤0.74 and 40.40%, 24.20%,and 24.20% for patients with APPRI>0.74. The corresponding rates of OS over 1, 3, and 5 years were 92.40%, 88.10% and 77.70%, and 72.30%, 38.20%, and 19.10%, respectively. The DFS and OS rates of patients whose APPRI was more than 0.74 were substantially lower than those of patients whose APPRI was less than or equal to 0.74 (p = 0.002 and p < 0.001, respectively). Elevated preoperative APPRI is a noninvasive, simple, and easily assessable parameter linked to poor prognosis in individuals with single HCC and MVI after resection or liver transplantation.

The postoperative platelet-to-lymphocyte ratio predicts the outcome of patients undergoing pancreaticoduodenectomy for pancreatic head cancer.

The preoperative platelet-to-lymphocyte ratio (PLR) has been reported as an important prognostic index for pancreatic ductal adenocarcinoma (PDAC); however, the significance of the postoperative (post-op) PLR for this disease has not been elucidated. We analyzed data on 118 patients who underwent pancreaticoduodenectomy for pancreatic head PDAC, collected from a prospectively maintained database. The post-op PLR was obtained by dividing the platelet count after surgery by the lymphocyte count on post-op day (POD) 14. The patients were divided into two groups according to a post-op PLR of < 310 or ≥ 310. Survival data were analyzed. A high post-op PLR was identified as a significant prognostic index on univariate analysis for disease-free survival (DFS) and overall survival (OS). The post-op PLR remained significant, along with tumor differentiation and adjuvant chemotherapy, on multivariate analysis for OS (hazard ratio = 2.077, 95% confidence interval: 1.220-3.537; p = 0.007). The post-op PLR was a significant independent prognostic index for poor DFS, along with tumor differentiation and lymphatic invasion, on multivariate analysis (hazard ratio = 1.678, 95% confidence interval: 1.056-2.667; p = 0.028). The post-op PLR in patients with pancreatic head PDAC was an independent predictor of DFS and OS after elective resection.