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Breast cancer (BC) is the most commonly diagnosed cancer and second leading cause of cancer-related death in women worldwide. Ferroptosis, an iron-dependent newly discovered mode of cell death, can be induced by lenaltinib and plays an important role in the biological behaviors of BC. Therefore, the prognostic value of ferroptosis-related genes (FRGs) in BC warrants further investigation. FRG expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO). Immune-related pathways were found in the functional analysis. Significant differences in enrichment scores for immune cells were observed. Some patients from TCGA-BRCA were included as the training cohort. A six-gene prediction signature was constructed with the least absolute shrinkage and selection operator Cox regression. This model was validated in the rest of the TCGA-BRCA and GEO cohort. The expressions of the six FRGs were verified with real-time quantitative polymerase chain reaction and immunohistochemistry in the Human Protein Atlas. Relapse or metastasis was more likely in the high-risk group. Risk score was an independent predictor of disease-free survival. Collectively, the ferroptosis-related risk model established in this study may serve as an effective tool to predict the prognosis in BC.

Xinwei Guo,1,* Han Zhang,2,* Liben Xu,3,* Shaobing Zhou,1 juying Zhou,4 yangchen Liu,1 Shengjun Ji5 1Department of Radiation Oncology, Affiliated Taixing People’s Hospital of Yangzhou University, Taixing, People’s Republic of China; 2School of Mathematical Science and Application, Nanjing Normal University, Taizhou College, Taizhou, People’s Republic of China; 3Department of Radiotherapy, Jiangsu University Affiliated People’s Hospital, Zhenjiang, People’s Republic of China; 4Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China; 5Department of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: yangchen LiuDepartment of Radiation Oncology, Affiliated Taixing People’s Hospital of Yangzhou University, Taixing, 225400, People’s Republic of ChinaTel +86 13961001669Email liuyctx@163.comShengjun JiDepartment of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, People’s Republic of ChinaTel +86 18914087033Email drshengjunji@163.comBackground: The aim of this study was to explore the influence of preoperative tumor volume, length, maximum diameter and the number of postoperative pathologically lymph node metastasis (LNM) regions on survival prognosis of esophageal squamous cell carcinoma (ESCC) patients.Methods: A total of 296 patients with ESCC treated by standard curative esophagectomy were retrospectively analyzed. These patients were grouped for further analysis according to the optimal threshold of preoperative tumor volume, length, maximum diameter and the number of postoperative pathologically LNM regions. Kaplan–Meier method was used to calculate survival rate and survival comparison was performed by Log rank test. The Cox proportional hazards model was used to carry out univariate and multivariate analyses. Nomogram model was established by integrating statistically significant clinicopathological parameters, and the predictive value was further verified by calibration curve, concordance index (C-index) and decision curve.Results: The univariate and multivariate Cox regression analysis all showed that differentiation grade, TNM stage, adjuvant therapy, preoperative tumor volume and the number of post operative pathologically LNM regions were independent prognostic factors for PFS and OS (all P< 0.05). The C-indexes of PFS and OS by nomograms were predicted to be 0.747 (95% CI: 0.717– 0.777) and 0.732 (95% CI: 0.697– 0.767), respectively, which were significantly higher than the 7th AJCC TNM stage, the C-indexes 0.612 (95% CI: 0.574– 0.650) and 0.633 (95% CI: 0.595– 0.671), separately. In addition, the calibration curves of nomogram models were highly consistent with actual observation for the five-year PFS and OS rate, and the decision curve analysis also showed that nomogram models had higher clinical application potentials than TNM staging model in predicting survival prognosis of thoracic ESCC after surgery.Conclusion: The nomograms incorporated preoperative tumor volume and the number of postoperative pathologically LNM areas are of great value in predicting survival prognosis of patients with thoracic ESCC.Keywords: esophageal neoplasm/post-operation, tumor volume, the number of lymph node metastasis areas, nomograms, prognosis

Background. The systemic immune-inflammation index (SII) has an important role in predicting survival in some solid tumors. However, little information is available concerning the change of the SII (∆SII) in colorectal cancer (CRC) after curative resection. This study was designed to evaluate the role of ∆SII in CRC patients who received surgery. Methods. A total 206 patients were enrolled in this study. Clinicopathologic characteristics and survival were assessed. The relationships between overall survival (OS), disease-free survival (DFS), and ∆SII were analyzed with both univariate Kaplan-Meier and multivariate Cox regression methods. Results. Based on the patient data, the receiver operating characteristic (ROC) optimal cutoff value of ∆SII was 127.7 for OS prediction. The 3-year and 5-year OS rates, respectively, were 60.4% and 36.7% in the high-∆SII group (>127.7) and 87.6% and 79.8% in the low-∆SII group (≤127.7). The 3-year and 5-year DFS rates, respectively, were 54.1% and 34.1% in the high-∆SII group and 80.3% and 78.5% in the low-∆SII group. In the univariate analysis, smoking, pathological stages III-IV, high-middle degree of differentiation, lymphatic invasion, vascular invasion, and the high-ΔSII group were associated with poor OS. Adjuvant therapy, pathological stages III-IV, vascular invasion, and ΔSII were able to predict DFS. Multivariate analysis revealed that pathological stages III-IV ( HR = 0.442 , 95% CI = 0.236 -0.827, p = 0.011 ), vascular invasion ( HR = 2.182 , 95% CI = 1.243 -3.829, p = 0.007 ), and the high-ΔSII group ( HR = 4.301 , 95% CI = 2.517 -7.350, p < 0.001 ) were independent predictors for OS. Adjuvant therapy ( HR = 0.415 , 95% CI = 0.250 -0.687, p = 0.001 ), vascular invasion ( HR = 3.305 , 95% CI = 1.944 -5.620, p < 0.001 ), and the high-ΔSII group ( HR = 4.924 , 95% CI = 2.992 -8.102, p < 0.001 ) were significant prognostic factors for DFS. Conclusions. The present study demonstrated that ∆SII was associated with the clinical outcome in CRC patients undergoing curative resection, supporting the role of ∆SII as a prognostic biomarker.

Objective: To evaluate the prognostic value of conversion of high-risk human papillomavirus (HR-HPV) status after treatment for cervical cancer. Methods: A total of 112 cervical cancer patients with HR-HPV positivity without distant metastasis treated with surgery or radical concurrent radiochemotherapy were enrolled. HR-HPV status was analyzed before and after treatment and at the time point of recurrence or metastasis. Log-rank tests and Cox proportional hazard models were used to evaluate the association between conversion of HR-HPV status after treatment and survival. Results: Eighty-four (75%) patients had negative conversion HR-HPV (ncHR-HPV) after treatment and twenty-eight (25%) were persistent positive HR-HPV (ppHR-HPV). The negative conversion rate was 75.8% in patients who received surgical treatment and 71.4% in patients who received radical concurrent radiochemotherapy. There was no significant difference between the two groups (χ2=0.000, P=1.000). There was no significant correlation between HR-HPV conversion after treatment with age (χ2=0.616, P=0.252), FIGO stage (χ2=0.051, P=0.823) and pathological type (χ2=0.000, P=1.000). Univariate analysis showed that treatment regimen and ncHR-HPV was closely related to progression-free survival (PFS) and overall survival (OS) of cervical cancer patients. Multivariate COX regression model showed that treatment regimen (HR=3.57, 95% CI: 1.57-8.11, P=0.002) and ncHR-HPV (HR=5.14, 95% CI: 2.32-11.46, P

BackgroundPrimary small cell breast carcinoma (SCBC) is an uncommon malignancy with highly invasive behavior. The aim of this study was to find out more about the incidence, clinicopathologic characteristics and identify potential prognostic factors of SCBC.MethodsData of patients with primary diagnosis of SCBC between 1975 and 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The incidence after adjustment for age and percentage change per year in incidence were calculated. Disease-specific survival (DSS) and overall survival (OS) were analyzed among these SCBC patients identified from the SEER database. The whole cohorts were randomized into training and validation cohorts as ratio of 7: 3. Cox regression analysis was performed to determine predictors of survival with the training cohorts. Predictive models were constructed with training cohorts, and nomogram validation was performed using receiver operating characteristic curves, concordance indices and calibration curves in both training and validation cohorts.Results323 SCBC patients were enrolled finally during the research period. The overall incidence after adjustment for age between 1990 and 2018 was 0.14 per million per year, and the prevalence of the incidence has plateaued. Most of these tumors were poorly differentiated or undifferentiated. The most prevalent presenting stage was Stage II. Patients identified in this study were randomly divided into training (n = 226) and testing (n = 97) cohorts. Multivariate Cox proportional hazards model showed that chemotherapy, surgery and stage were important predictors of DSS and OS.ConclusionSCBC is considered an infrequent breast neoplasm with aggressive characteristics. Tumor stage is associated with poor prognosis. Combination of surgery and chemotherapy is the main treatment for SCBC.

Background: Although the systemic immune-inflammation index (SII) has been used to predict recurrence and survival in non-small-cell lung cancer (NSCLC) patients, the prognostic significance of change in SII (ΔSII) is unclear for stage III NSCLC patients treated with concurrent chemoradiotherapy (CCRT). In the present study we aimed to explore the association between ΔSII and the clinical outcomes of 142 patients with stage III NSCLC treated with CCRT. Methods: A total of 142 patients were included in this retrospective study. The SII values were calculated based on laboratory data regarding platelet, neutrophil and lymphocyte counts, and ΔSII was calculated using data acquired before and approximately 2 weeks after CCRT. The receiver operating characteristic curve was used to determine the optimal cut-off value for the peripheral blood inflammation index. Kaplan–Meier analysis and Cox proportional regression were used to analyze the prognostic value of ΔSII for overall survival (OS) and progression-free survival (PFS). Results: The area under the receiver operating characteristic curve for ΔSII (0.708) was larger than those for pre-CCRT SII (0.578) and post-CCRT SII (0.610). The optimal cut-off point for ΔSII was defined as 43. OS and PFS were better in patients with low ΔSII and in multivariate analysis, the ΔSII was an independent predictor of OS and PFS (p = 0.006 and p = 0.017, respectively). Conclusions: ΔSII is related to progression and death in patients with stage III NSCLC. The ΔSII can provide a detailed prognostic prediction for stage III NSCLC.

Background. As a parameter integrating platelet (P), neutrophil (N), and lymphocyte (L) levels, the systemic immune-inflammation index (SII) has been used as a prognostic marker for patient survival in various types of solid malignant tumors. However, there is no in-depth study in non-small-cell lung cancer (NSCLC) patients with brain metastases after stereotactic radiotherapy. Therefore, we performed a retrospective analysis to determine the clinical and prognostic value of the SII in NSCLC patients with brain metastases who underwent stereotactic radiotherapy. Materials and Methods. We enrolled 124 NSCLC patients with brain metastases treated with stereotactic radiotherapy in our hospital between May 2015 and June 2018. We obtained all baseline blood samples within one week prior to stereotactic radiotherapy. The SII was calculated by the following formula: neutrophil counts × platelet counts / lymphocyte counts . The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan–Meier method and log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the prognostic impact of the blood index on overall survival (OS) and progression-free survival (PFS). Only those parameters that proved to be associated with statistically significant differences in clinical outcomes were compared in multivariate analysis using a multiple Cox proportional hazard regression model to identify independent prognostic factors. Results. Of the total enrolled patients, 53.2% and 46.8% have high SII and low SII, respectively. In this study, Kaplan–Meier curve analysis revealed that the median PFS was 9 months (range: 2–22 months) and the median OS was 18 months (range: 4–37 months). Applying an optimal cutoff of 480 (SII), the median PFS was better in the low SII group patients (11.5 vs. 9 months), and the median OS was significantly longer in the low SII group patients (20 vs. 18 months). A SII > 480 was significantly associated with worse OS (HR: 2.196; 95% CI 1.259–3.832; P = 0.006 ) and PFS (HR: 2.471; 95% CI 1.488–4.104; P < 0.001 ) according to univariate analysis. In multivariate analysis, only age (HR: 2.159; 95% CI 1.205–3.869; P = 0.010 ), KPS (HR: 1.887; 95% CI 1.114–3.198; P = 0.018 ), and SII (HR: 1.938; 95% CI 1.046–3.589; P = 0.035 ) were independently correlated with OS, and SII (HR: 2.224; 95% CI 1.298–3.810; P = 0.004 ) was an independent prognostic predictor of PFS, whereas we found that other inflammation-based indices lost their independent value. Conclusions. The SII, which is an integrated blood parameter based on platelet, neutrophil, and lymphocyte counts, may be an independent prognostic indicator and may be useful for the identification of NSCLC patients with brain metastases after stereotactic radiotherapy at high risk for recurrence.

Xin-Wei Guo,1,* Yang-Chen Liu,2,* Fei Gao,2,* Sheng-Jun Ji,3 Ju-Ying Zhou,1 Lei Ji,1 Shao-Bing Zhou2 1Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China; 2Department of Radiation Oncology, Affiliated Taixing People’s Hospital of Yangzhou University, Taixing, People’s Republic of China; 3Department of Radiotherapy and Oncology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, People’s Republic of China *These authors contributed equally to this work Background: The purpose of this study was to investigate the prognostic values of Nutritional Risk Screening 2002 (NRS-2002) and hematologic inflammation markers in patients with esophageal squamous cell carcinoma (ESCC) receiving curative esophagectomy. Materials and methods: A total of 277 patients with ESCC treated with standard curative esophagectomy were retrospectively analyzed. These patients were grouped for further analysis according to the systemic inflammation score (SIS), the combination of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio (CNP) score and NRS-2002 score. The Kaplan–Meier method and log-rank test were adopted to calculate and compare the progression-free survival (PFS) and overall survival (OS) rates with these parameters. The Cox proportional hazards model was used to carry out univariate and multivariate analyses. Receiver operating characteristic (ROC) curves were applied to verify the accuracy of SIS, CNP and NRS-2002 for survival prediction. Results: In univariate analysis, the following factors were significantly associated with poor PFS and OS: sex, T stage, N stage, TNM stage, SIS, CNP and NRS-2002 (all P

Han Zhang,1,* Xin-Wei Guo,2,* Xiao-Xiang Yin,2,* Yang-Chen Liu,2 Sheng-Jun Ji3 1School of Mathematics, Nanjing Normal University, Taizhou College, Taizhou 225300, People’s Republic of China; 2Department of Radiation Oncology, Affiliated Taixing People’s Hospital of Yangzhou University, Taixing 225400, People’s Republic of China; 3Department of Radiotherapy and Oncology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou 215002, People’s Republic of China*These authors contributed equally to this workCorrespondence: Sheng-Jun JiDepartment of Radiotherapy and Oncology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou 215002, People’s Republic of ChinaTel +86 18914087033Email happy168123@aliyun.comObjective: To investigate the therapeutic effect and survival outcome using nomogram by incorporating significant inflammatory markers in patients with thoracic esophageal squamous cell carcinoma (ESCC) who received chemoradiotherapy (CRT) or single radiotherapy (RT).Method: A total of 266 patients diagnosed with thoracic ESCC receiving standard curative RT only or concurrent CRT were retrospectively analysed. The patients were grouped for statistical analysis depending on the median values of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and C-reactive protein/albumin (CRP/Alb) ratio. The therapeutic effect was analysed by univariate and multivariate logistic analyses. The survival prognosis was estimated by univariate and multivariate Cox analyses. At last, the nomogram was developed by incorporating the significant inflammatory markers and clinicopathological parameters, and the predictive value was verified by calibration curve, concordance index (C-index) and decision curve.Results: The treatment responses were highly associated with clinical stage, tumor location, NLR, PLR and CRP/Alb ratio (all P

BackgroundRecently, several studies observed that locally advanced cervical carcinoma with negative excision repair crross-complementation group one enzyme expression has better outcomes in cisplatin-based chemotherapy or chemoradiotherapy than carcinoma with positive excission repair cross-complementation group one enzyme expression. In this meta-analysis, we quantitatively evaluated the prognostic value of excission repair cross-complementation group one enzyme expression in locally advanced cervical carcinoma patients receiving platinum-based chemotherapy or chemoradiotherapy.MaterialsA systematic search for relevant studies was conducted in the PubMed, Cochrane Library, EMBASE and Medline databases. Fixed- or random-effects models were used for pooled analysis. The endpoints were overall survival and disease-free survival () reported as ORs and 95% CIs. The effects of excission repair cross-complementation group one enzyme expression on the clinicopathological parameters were measured by the pooled ORs and their 95% CIs.ResultsEight studies (612 patients in total) satisfied the inclusion criteria. Negative/low excission repair cross-complementation group one enzyme expression was significantly associated with better overall survival (OR, 1.92; 95% CI, 1.22 to 3.05; P = 0.005) and disease-free survival (OR, 5.77; 95% CI, 1.90 to 17.54; P = 0.002). Additionally, there were significant associations between excission repair cross-complementation group one enzyme expression and lymph node metastasis (OR, 2.57; 95% CI, 1.28 to 5.16; P = 0.008).ConclusionsThis meta-analysis suggested that pretreatment excission repair cross-complementation group one enzyme expression might be a useful biomarker to predict prognoses for locally advanced cervical carcinoma patients receiving platinum-based chemotherapy or chemoradiotherapy.