Risk stratification models incorporating oxidative stress factors to predict survival and recurrence in patients with gastric cancer after radical gastrectomy: A real-world multicenter study.

BACKGROUND: Oxidative stress significantly influences the development and progression of gastric cancer (GC). It remains unreported whether incorporating oxidative stress factors into nomograms can improve the predictive accuracy for survival and recurrence risk in GC patients. METHODS: 3498 GC patients who underwent radical gastrectomy between 2009 and 2017 were enrolled and randomly divided into training cohort (TC) and internal validation cohort (IVC). Cox regression analysis model was used to evaluate six preoperative oxidative stress indicators to formulate the Systemic oxidative stress Score (SOSS). Two nomograms based on SOSS was constructed by multivariate Cox regression and validated using 322 patients from another two hospitals. RESULTS: A total of 3820 patients were included. The SOSS, composed of three preoperative indicators-fibrinogen, albumin, and cholesterol-was an independent prognostic factor for both overall survival (OS) and disease-free survival (DFS). The two nomograms based on SOSS showed a significantly higher AUC than the pTNM stage (OS: 0.830 vs. 0.778, DFS: 0.824 vs. 0.775, all P < 0.001) and were validated in the IVC and EVC (all P < 0.001). The local recurrence rate, peritoneal recurrence rate, distant recurrence rate and multiple recurrence rate in high-risk group were significantly higher than those in low-risk group (P < 0.05). CONCLUSIONS: The two novel nomograms based on SOSS which was a combination score of three preoperative blood indicators, demonstrated outstanding predictive abilities for both survival and recurrence in GC patients with different risk groups, which may potentially improve survival through perioperatively active intervention strategies and individualized postoperatively close surveillance.

Development and validation of a preoperative radiomics-based nomogram to identify patients who can benefit from splenic hilar lymphadenectomy: a pooled analysis of three prospective trials.

BACKGROUND: The authors aimed to use preoperative computed tomography images to develop a radiomic nomogram to select patients who would benefit from spleen-preserving splenic hilar (No.10) lymphadenectomy (SPSHL). METHODS: A pooled analysis of three distinct prospective studies was performed. The splenic hilar lymph node (SHLN) ratio (sLNR) was established as the quotient of the number of metastatic SHLN to the total number of SHLN. Radiomic features reflecting the phenotypes of the primary tumor (RS1) and SHLN region (RS2) were extracted and used as predictive factors for sLNR. RESULTS: This study included 733 patients: 301 in the D2 group and 432 in the D2+No.10 group. The optimal sLNR cutoff value was set at 0.4, and the D2+No.10 group was divided into three groups: sLNR=0, sLNR ≤0.4, and sLNR >0.4. Patients in the D2+No. 10 group were randomly divided into the training ( n =302) and validation ( n =130) cohorts. The AUCs value of the nomogram, including RS1 and RS2, were 0.952 in the training cohort and 0.888 in the validation cohort. The entire cohort was divided into three groups based on the nomogram scores: low, moderate, and high SHLN metastasis burden groups (LMB, MMB, and HMB, respectively). A similar 5-year OS rate was found between the D2 and D2+No. 10 groups in the LMB and HMB groups. In the MMB group, the 5-year OS of the D2+No. 10 group (73.4%) was significantly higher than that of the D2 group (37.6%) ( P <0.001). CONCLUSIONS: The nomogram showed good predictive ability for distinguishing patients with various SHLN metastasis burdens. It can accurately identify patients who would benefit from SPSHL.

Effects of tumor marker regression load score on long-term prognosis of gastric cancer patients undergoing radical surgery after neoadjuvant chemotherapy.

BACKGROUND: The effects of the dynamics of serum tumor markers (CA72-4, CEA, CA19-9, CA125 and AFP) before and after neoadjuvant chemotherapy (NACT) on the prognosis of gastric cancer(GC) patients remain unclear. METHODS: The training set contained 334 GC patients from Fujian Medical University Union Hospital (FJMUUH) and 113 GC patients in Qinghai University Affiliated Hospital (QhUAH) were used as an external validation set. Tumor marker regression load (ΔTMRL) indicator, including ΔCA72-4, ΔCEA, ΔCA19-9, ΔCA125, and ΔAFP, is defined as [(postNACT marker- preNACT marker)/preNACT marker]. Tumor marker regression load score (TMRLS) consists of ΔCA72-4, ΔCEA and ΔCA125. The predictive performance of the nomogram-TMRLS was evaluated using the area under the receiver operating characteristic(ROC) curve(AUC), decision curve analysis(DCA), and C-index. RESULTS: Patients from FJMUUH were divided into two groups, TMRLS-low and TMRLS-high, determined by R package maxstat. Survival analysis revealed a higher 3-year overall survival(OS) in the TMRLS-low than in the TMRLS-high group. The TMRLS-high group who received postoperative adjuvant chemotherapy(AC) showed a significantly higher 3-year OS rate than those who did not. Multivariate COX regression analysis indicated that TMRLS was an independent prognostic factor for OS. A nomogram for predicting OS based on TMRLS showed a significantly higher C-index and AUC than the ypTNM stage. The above results were also found in the QhUAH external validation cohort. CONCLUSION: TMRLS is a novel independent prognostic factor for GC who underwent NACT and a radical gastrectomy. Furthermore, the TMRLS-high group, who received postoperative AC, may achieve better survival outcomes. Notably, the predictive performance of the nomogram-TMRLS significantly outperformed that of the ypTNM stage.

Robotic gastrectomy was reliable option for overweight patients with gastric cancer: a propensity score matching study.

BACKGROUND: The role of minimally invasive surgery using robotics versus laparoscopy in resectable gastric cancer patients with a high body mass index (BMI) remains controversial. METHODS: A total of 482 gastric adenocarcinoma patients with BMI ≥ 25 kg/m2 who underwent minimally invasive radical gastrectomy between August 2016 and December 2019 were retrospectively analyzed, including 109 cases in the robotic gastrectomy (RG) group and 321 cases in the laparoscopic gastrectomy (LG) group. Propensity score matching (PSM) with a 1:1 ratio was performed, and the perioperative outcomes, lymph node dissection, and 3-year overall survival (OS) and disease-free survival (DFS) rates were compared. RESULTS: After PSM, 109 patients were included in each of the RG and LG groups, with balanced baseline characteristics. Compared with the LG group, the RG group had similar intraoperative estimated blood loss [median (IQR) 30 (20-50) vs. 35 (30-59) mL, median difference (95%CI) - 5 (- 10 to 0)], postoperative complications [13.8% vs. 18.3%, OR (95%CI) 0.71 (0.342 to 1.473)], postoperative recovery, total harvested lymph nodes [(34.25 ± 13.43 vs. 35.44 ± 14.12, mean difference (95%CI) - 1.19 (- 4.871 to 2.485)] and textbook outcomes [(81.7% vs. 76.1%, OR (95%CI) 1.39 (0.724 to 2.684)]. Among pathological stage II-III patients receiving chemotherapy, the initiation of adjuvant chemotherapy in the RG group was similar to that in the LG group [median (IQR): 28 (25.5-32.5) vs. 32 (27-38.5) days, median difference (95%CI) - 3 (- 6 to 0)]. The 3-year OS (RG vs. LG: 80.7% vs. 81.7%, HR = 1.048, 95%CI 0.591 to 1.857) and DFS (78% vs. 76.1%, HR = 0.996, 95%CI 0.584 to 1.698) were comparable between the two groups. CONCLUSION: RG conferred comparable lymph node dissection, postoperative recovery, and oncologic outcomes in a selected cohort of patients with BMI ≥ 25 kg/m2.

Prognostic value of preoperative sarcopenia in gastric cancer: A 10-year follow-up study.

BACKGROUND: Preoperative sarcopenia is associated with prognosis in patients with gastric cancer (GC); however, studies with 10-year survival follow-up are lacking. METHODS: Consecutive patients with GC who underwent radical gastrectomy between December 2009-2012 were included retrospectively. Preoperative sarcopenia was diagnosed using computed tomography skeletal muscle index. The Kaplan-Meier method estimated overall survival (OS) and relapse-free survival (RFS). Cox proportional hazard regression analysis determined the prognostic factors for OS and RFS. RESULTS: In total, 781 patients with GC were included; among these, 207 (26.5%) had preoperative sarcopenia. Patients with sarcopenia had significantly lower 10-year OS and RFS than patients without sarcopenia (39.61% vs. 58.71% and 39.61% vs. 57.84%, respectively). Further, preoperative sarcopenia was an independent risk factor for 10-year OS (HR = 1.467; 95% confidence interval [CI]: 1.169-1.839) and RFS (HR = 1.450; 95% CI: 1.157-1.819). Patients with sarcopenia had a higher risk of death and recurrence in the first 10 years postoperatively than patients without sarcopenia. Additionally, the risk of death (HR = 2.62; 95% CI:1.581-4.332) and recurrence (HR = 2.34; 95% CI:1.516-3.606) was the highest in the 1st postoperative year and remained relatively stable thereafter. Further, postoperative adjuvant chemotherapy significantly improved 10-year OS (p = 0.006; HR = 0.558) and RFS (p = 0.008; HR = 0.573) in patients with TNM stage II-III GC that presented with sarcopenia. CONCLUSION: Preoperative sarcopenia remained an independent risk factor for postoperative very long-term prognosis of GC. Postoperative adjuvant chemotherapy improved the long-term outcomes of stage II-III patients with sarcopenia.

Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching Study.

BACKGROUND: Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether the short-term outcomes of robotic gastrectomy are superior to those of laparoscopic gastrectomy (LG) for elderly patients with advanced gastric cancer has not been reported. METHODS: The study enrolled of 594 elderly patients with advanced gastric cancer who underwent robotic or laparoscopic radical gastrectomy. The RG cohort was matched 1:3 with the LG cohort using propensity score-matching (PSM). RESULTS: After PSM, 121 patients were included in the robot group and 363 patients in the laparoscopic group. Excluding the docking and undocking times, the operation time of the two groups was similar (P = 0.617). The RG group had less intraoperative blood loss than the LG group (P < 0.001). The time to ambulation and first liquid food intake was significantly shorter in the RG group than in the LG group (P < 0.05). The incidence of postoperative complications did not differ significantly between the two groups (P = 0.14). Significantly more lymph nodes were dissected in the RG group than in the LG group (P = 0.001). Postoperative adjuvant chemotherapy was started earlier in the RG group than in the LG group (P = 0.02). CONCLUSIONS: For elderly patients with advanced gastric cancer, RG is safe and feasible. Compared with LG, RG is associated with less intraoperative blood loss; a faster postoperative recovery time, allowing a greater number of lymph nodes to be dissected; and earlier adjuvant chemotherapy.

Bacteriological and oncological safety of complete laparoscopic radical resection of colorectal cancer without incision anastomosis based on propensity-matched scores.

Introduction: Complete laparoscopic radical resection of colorectal cancer without incision anastomosis is performed by means of natural orifice specimen extraction (NOSE), which avoids a large abdominal wall incision. Although this procedure is increasingly practiced, it is still underdeveloped, one reason being that controversy still exists regarding bacteriological and oncological safety. Aim: To demonstrate the safety of complete laparoscopic radical resection of colorectal cancer without incision anastomosis in bacteriology and oncology. Material and methods: This study was a retrospective study with prospectively collected data. This study continuously collected 420 patients who underwent colorectal cancer surgery in our hospital from January 2018 to March 2022. According to the different surgical methods, they were divided into the NOSE group (the natural orifice specimen extraction group) and the N-NOSE group (specimen removed through abdominal wall auxiliary incision). The two groups were matched 1 : 1 using the propensity score matching (PSM) method to balance at baseline. Bacteriological and oncological outcomes, short-term complications, and long-term prognosis were compared between the two groups. Results: One hundred and eighty-four of the 420 included patients were successfully matched. The differences in gender, body mass index, T stage, N stage, and diabetes status between the two groups after matching were not statistically significant. There were no significant differences in oncological outcomes, short-term complications, and 2-year postoperative disease-free survival between the two groups. There was no significant correlation between positive bacterial culture results and intra-abdominal infection. Conclusions: Compared with traditional laparoscopic surgery, complete laparoscopic radical resection of colorectal cancer without incision anastomosis has satisfactory bacteriological and oncological effects and is worthy of further clinical promotion.

Identification of optimal primary tumor resection candidates for metastatic gastric cancer: Nomograms based on propensity score matching.

BACKGROUND: This study sought to develop and validate nomograms for screening patients with metastatic gastric cancer (mGC) who are candidates for primary tumor resection (PTR) and evaluating the prognosis of mGC patients after PTR. METHODS: From 2010 to 2016, we screened mGC patients with complete data from the Surveillance, Epidemiology, and End Results (SEER) database. Depending on whether or not PTR was performed, we categorized patients into surgery and non-surgery groups. A 1:1 propensity score matching (PSM) analysis was used to balance the characteristics of the two groups. The endpoints were overall survival (OS) and cancer-specific survival (CSS). Two predictive nomograms were developed using logistic regression to assess the likelihood of benefit. Two additional prognostic nomograms were developed to assess prognosis in mGC patients after PTR by Cox regression. Finally, nomograms were evaluated using a variety of methodologies. RESULTS: Our study included 3594 mGC patients who met the criteria. PTR was associated with improved OS and CSS time (median OS time after PSM: 15 vs. 7 months, P < 0.05; median CSS time after PSM: 17 vs. 7 months, P < 0.05). The OS-related predictive nomogram, including age, histologic type, grade, T stage, and chemotherapy, was developed. Moreover, the CSS-related predictive nomogram, including age, histologic type, grade, and chemotherapy, was developed. Sex, histologic type, grade, T stage, N stage, and chemotherapy were found to be correlated with OS. Furthermore, the CSS correlated with histologic type, grade, T stage, N stage, and chemotherapy. Both predictive and prognostic nomograms were found to be valuable and reliable after different types of validation. CONCLUSION: Predictive nomograms were developed and validated for identifying the optimal PTR mGC candidates. Prognostic nomograms were developed and validated for assessing the prognosis of mGC patients after PTR.

Identification of a clinical web-based nomogram to predict overall survival in elderly retroperitoneal sarcoma patients: A population-based study.

The purpose of this study was to develop a web-based nomogram and risk stratification system to predict overall survival (OS) in elderly patients with retroperitoneal sarcoma (RPS). Elderly patients diagnosed with RPS between 2004 and 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. We used univariate and multivariate Cox analysis to identify independent prognostic factors. We plotted the nomogram for predicting the OS of elderly RPS patients at 1, 3, and 5 years by integrating independent prognostic factors. The nomograms were subsequently validated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). By calculating the Nomogram score for each patient, we build a risk stratification model to evaluate the survival benefit of elderly RPS patients. A total of 722 elderly RPS patients were included in our study. The nomogram includes 5 clinicopathological variables as independent prognostic factors: age, histological subtype, grade, metastasis status, and surgery. Through the validation, we found that the nomogram has excellent prediction performance. Then web-based nomograms were established. We performed a web-based nomogram and a risk stratification model to assess the prognosis of elderly RPS patients, which are essential for prognostic clustering and decision-making about treatment.

A novel inflammatory signature for evaluating immune microenvironment status in soft tissue sarcoma.

Background: Tumorigenesis and progression are intimately associated with inflammation. However, the inflammatory landscape in soft tissue sarcoma (STS) and its clinical consequences are yet unknown, and more investigation is needed. Methods: RNA-seq expression data for STS and corresponding normal tissues were downloaded from The Cancer Genome Atlas database and the Genotype-Tissue Expression Portal. Differential and prognostic analyses were performed based on known inflammatory response genes from Gene Set Enrichment Analysis (GSEA). We utilized LASSO-Cox analysis to determine hub genes and built an inflammatory score (INFscore) and risk stratification model. Furthermore, a nomogram, including the risk stratification model, was established to predict the prognosis. We further elucidated the characteristics among different risk STS patients by GSEA, gene set variation analysis, and detailed immune infiltration analysis. Finally, the INFscore and risk stratification model in predicting prognosis and depicting immune microenvironment status were verified by pan-cancer analysis. Results: Five hub genes (HAS2, IL1R1, NMI, SERPINE1, and TACR1) were identified and were used to develop the INFscore. The risk stratification model distinguished the immune microenvironment status and evaluated the efficacy of immunotherapy and chemotherapy in STS. The novel nomogram had good efficacy in predicting the prognosis of STS patients. Finally, a pan-cancer investigation verified the association of INFscore with prognosis and immunity. Conclusions: According to the present study, the risk stratification model can be used to evaluate STS prognosis, tumor microenvironment status, immunotherapy, and chemotherapy efficacy. The novel nomogram has an excellent predictive value. Thus, the INFscore and risk stratification model has potential value in assessing the prognosis and immune status of multiple malignancies.

Safety analysis of natural orifice specimen extraction surgery for colorectal cancer.

SUMMARY: This study investigated the safety, feasibility, and clinical outcomes of natural orifice specimen extraction surgery (NOSES) by collecting clinical from patients who underwent complete laparoscopic radical resection for colorectal cancer versus those who underwent conventional laparoscopic radical resection for colorectal cancer. Patients with colorectal cancer were selected as the study sample and grouped according to the different surgical methods. A total of 182 patients were eligible for enrollment in the study, including 92 patients who underwent NOSES (NOSES group) and 90 patients who underwent conventional laparoscopic radical colorectal cancer surgery. In the NOSES group, a total of 14 cases were observed to have a postoperative abdominal infection, and the remaining 78 cases did not have an abdominal infection, which we refer to as the infected and uninfected groups in this paper for further analysis. There was no difference in surgical outcome between NOSES surgery and conventional laparoscopic surgery. Diabetes mellitus, prolonged drain retention, and prolonged operative time were risk factors for the development of abdominal infection in NOSES. In contrast, intraoperative use of specimen retrieval bags, use of transanal endoscopic operations, and intraoperative flushing of the abdominal cavity with dilute iodophenol were protective factors for the development of postoperative abdominal infections. NOSES for colorectal cancer is worth promoting because of its small trauma and quick postoperative recovery.

A New Nomogram for Predicting the Postoperative Overall Survival in Patients with Middle-Aged and Elderly Rectal Cancer: A Single Center Retrospective Study in Chinese Population.

Purpose: Patients with middle-aged and elderly rectal cancer (MERC) usually have poor prognosis after surgery. This study aimed to develop a nomogram to achieve individualized prediction of overall survival (OS) in patients with MERC and to guide follow-up and subsequent diagnosis and treatment plans. Patients and Methods: A total of 349 patients were randomly assigned to the training and validation cohorts in a 7:3 ratio. Multivariate Cox regression analysis was performed using the results of univariate Cox regression analysis to confirm independent prognostic factors of OS. Thereafter, the nomogram was built using the "rms" package. Subsequently, discriminative ability and calibration of the nomogram were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Integrated discrimination improvement (IDI), net reclassification improvement (NRI), and the area under the ROC curves (AUC) were compared between the nomogram and the tumor-node-metastasis (TNM) staging system (8th edition). Finally, we established a predictive model to assess the survival benefit of patients with MERC by calculating nomogram scores for each patient. Results: Six variables were identified as independent prognostic factors and included in the nomogram: smoking history, family history, hematochezia, tumor size, N stage, and M stage. Based on these factors, we successfully constructed a nomogram and evaluated its discriminative and predictive abilities using ROC curves, calibration curves, and DCA. ROC curves, IDI, and NRI showed that the nomogram had outstanding clinical utility compared with the TNM staging system (8th edition) for OS prediction. The predictive model successfully distinguished between high-, medium-, and low-risk MERC patients. Conclusion: Our nomogram provided a more satisfactory survival prediction ability than the TNM staging system (8th edition) for MERC patients. In addition, the nomogram was able to accurately categorize patients into different risk groups after surgery.

Clinical effects of prophylactic transverse colostomy in patients undergoing completely laparoscopic transabdominal approach partial intersphincteric resection.

OBJECTIVE: To investigate the clinical effects of prophylactic transverse colostomy on gastrointestinal function recovery and complications in patients undergoing completely laparoscopic transabdominal approach partial intersphincteric resection (CLAPISR) of low rectal cancer. METHODS: We retrospectively analyzed the data of 74 patients with low rectal cancer who were treated with prophylactic transverse colostomy (Group A, n = 34) or without prophylactic transverse colostomy (Group B, n = 40). Surgery-related indicators, nutritional status indicators, systemic stress response indicators, and complications were compared between the two groups. RESULTS: On postoperative day 5, the C-reactive protein concentration and white blood cell count were not significantly different between the two groups; however, the serum concentrations of total protein and albumin were higher in Group A than in Group B. Within 26 months postoperatively, the total incidence rate of complications was not significantly different, but the incidence rate of anastomotic leakage was lower in Group A than in Group B. CONCLUSION: Prophylactic transverse colostomy based on CLAPISR can lead to faster recovery of gastrointestinal function, better improvement of postoperative nutritional indicators, and a lower incidence of anastomotic leakage. These characteristics are conducive to the rapid recovery of patients, making this procedure worthy of clinical application.

m6A regulator-mediated methylation modification patterns and tumor immune microenvironment in sarcoma.

BACKGROUND: Studies have shown that the RNA N6-methyladenosine (m6A) modification patterns are extensively involved in the development of multiple tumors. However, the association between the m6A regulator expression patterns and the sarcoma tumor immune microenvironment (TIME) remains unclear. METHODS: We systematically evaluated the m6A regulator expression patterns in patients with sarcoma based on known 23 m6A regulators. Different m6A regulator expression patterns were analyzed using gene set variation analysis and a single-sample gene set enrichment analysis algorithm. According to the results of consensus clustering, we classified the patients into four different clusters. Next, we subjected the four clusters to differential genetic analysis and established m6A-related differentially expressed genes (DEGs). We then calculated the m6A-related DEGs score and constructed the m6A-related gene signature, named m6A score. Finally, the 259 sarcoma samples were divided into high- and low-m6A score groups. We further evaluated the TIME landscape between the high- and low-m6A score groups. RESULTS: We identified four different m6A modification clusters and found that each cluster had unique metabolic and immunological characteristics. Based on the 19 prognosis-related DEGs, we calculated the principal component analysis scores for each patient with sarcoma and classified them into high- and low-m6A score groups. CONCLUSIONS: The m6A regulator expression patterns and complexity of the sarcoma TIME landscape are closely related to each other. Systematic evaluation of m6A regulator expression patterns and m6A scores in patients with sarcoma will enhance our understanding of TIME characteristics.

Immune-related lncRNA pairs as novel signature to predict prognosis and immune landscape in melanoma patients.

ABSTRACT: To investigate immune-related long non-coding RNA (irlncRNA) signatures for predicting survival and the immune landscape in melanoma patients.We retrieved gene expression files from The Cancer Genome Atlas and the Genotype-Tissue Expression database and extracted all the long non-coding RNAs from the original data. Then, we selected immune-related long non-coding RNAs (irlncRNAs) using co-expression networks and screened differentially expressed irlncRNAs (DEirlncRNAs) to form pairs. We also performed univariate analysis and Least absolute shrinkage and selection operator (LASSO) penalized regression analysis to identify prognostic DEirlncRNA pairs, constructed receiver operating characteristic curves, compared the areas under the curves, and calculated the optimal cut-off point to divide patients into high-risk and low-risk groups. Finally, we performed multivariate Cox regression analysis, Kaplan-Meier (K-M) survival analysis, clinical correlation analysis, and investigated correlations with tumor-infiltrating immune cells, chemotherapeutic effectiveness, and immunogene biomarkers.A total of 297 DEirlncRNAs were identified, of which 16 DEirlncRNA pairs were associated with prognosis in melanoma. After grouping patients by the optimal cut-off value, we could better distinguish melanoma patients with different survival outcomes, clinical characteristics, tumor immune status changes, chemotherapeutic drug sensitivity, and specific immunogene biomarkers.The DEirlncRNA pairs showed potential as novel biomarkers to predict the prognosis of melanoma patients. Furthermore, these DEirlncRNA pairs could be used to evaluate treatment efficacy in the future.

The new horizon of biomarker in melanoma patients: A study based on autophagy-related long non-coding RNA.

ABSTRACT: Autophagy-related long non-coding RNAs (arlncRNAs) play a crucial role in the pathogenesis and development of the tumor. However, there is a lack of systematic analysis of arlncRNAs in melanoma patients.Melanoma data for analysis were obtained from The Cancer Genome Atlas (TCGA) database. By establishing a co-expression network of autophagy-related mRNAs-lncRNAs, we identified arlncRNAs in melanoma patients. We evaluated the prognostic value of arlncRNAs by univariate and multivariate Cox analysis and constructed an arlncRNAs risk model. Patients were divided into high- and low-risk groups based on the arlncRNAs risk score. This model was evaluated by Kaplan-Meier (K-M) analysis, univariate-multivariate Cox regression analysis, and receiver operating characteristic (ROC) curve analysis. Characteristics of autophagy genes and co-expressive tendency were analyzed by principal component analysis and Gene Set Enrichment Analysis (GSEA) functional annotation.Nine arlncRNAs (USP30-AS1, LINC00665, PCED1B-AS1, LINC00324, LINC01871, ZEB1-AS1, LINC01527, AC018553.1, and HLA-DQB1-AS1) were identified to be related to the prognosis of melanoma patients. Otherwise, the 9 arlncRNAs constituted an arlncRNAs prognostic risk model. K-M analysis and ROC curve analysis showed that the arlncRNAs risk model has good discrimination. Univariate and multivariate Cox regression analysis showed that arlncRNAs risk model was an independent prognostic factor in melanoma patients. Principal component analysis and GSEA functional annotation showed different autophagy and carcinogenic status in the high- and low-risk groups.This novel arlncRNAs risk model plays an essential role in predicting of the prognosis of melanoma patients. The model reveals new prognosis-related biomarkers for autophagy, promotes precision medicine, and provides a lurking target for melanoma's autophagy-related treatment.

A Retrospective Study on the Feasibility of Completely Laparoscopic Transabdominal Approach Partial Intersphincteric Resection.

Background: With the development of surgical techniques, gastrointestinal surgeons seek ways to improve the quality of life (QOL) for postoperative patients, while ensuring the tumor radical effect, such as reducing trauma, alleviating pain, and preserving the anus. This article discusses the postoperative outcomes of completely laparoscopic transabdominal approach partial intersphincteric resection (CLTPISR). Materials and Methods: The clinical data of 68 patients who underwent CLTPISR at the Affiliated Hospital of Chengde Medical College between May 2017 and June 2020, including procedure-related data, general postoperative conditions, and postoperative anal function data, were retrospectively analyzed to investigate the feasibility and safety of CLTPISR. Results: All 68 rectal cancer patients completed the CLTPISR. The average age was (60.47 ± 7.08) years, the average operative time was (196.22 ± 8.15) minutes, the mean operative bleeding was (49.12 ± 29.61) mL, and the average postoperative hospital stay was (13.46 ± 4.78) days. The postoperative pathology showed that the circumferential margins and distal margins were all negative, the maximum tumor diameter was (3.26 ± 1.11) cm, the distance from the anal verge was (3.92 ± 0.89) cm, and the average number of lymph nodes cleared was (11.06 ± 3.67). There were 28 stage I patients (41.18%), 21 stage II patients (30.88%), and 19 stage III patients (27.94%). The median follow-up time after surgery was 28 months, and the rates of distant metastasis, disease-free survival, and overall survival of the patients were 8.82%, 91.18%, and 95.59%, respectively. The patient's postoperative anal function gradually recovered as time increased. Conclusions: Under the premise of strictly grasping the indications, the CLTPISR is a safe and feasible surgery. It could achieve maximum anal preservation and improve patients' QOL, while maintaining the tumor radical effect, and had the advantages of the short operation time, low intraoperative bleeding, and quick recovery. The Clinical Trial Registration number is LL2020397.

Construction, validation and, visualization of a web-based nomogram to identify the best candidates for primary tumor resection in advanced cutaneous melanoma patients.

Background: Existing studies have shown whether primary site resection (PSR) in cutaneous melanoma (CM) patients with stage IV is controversial. Our study aimed to identify the clinical characteristics of CM patients with stage IV who benefited from PSR on a population-based study. Methods: We retrospectively reviewed stage IV CM patients in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015. Patients were divided into surgical and non-surgical groups according to whether PSR was performed or not. According to the median cancer-specific survival (CSS) time of the non-surgery group, the surgical group was divided into the surgery-benefit group and the non-surgery-benefit group. Multivariate cox regression analysis was used to explore independent CSS prognostic factors in the surgical group. Then, based on the independent prognostic factors of the surgical group, we established a web-based nomogram based on logistics regression. Results: A total of 574 stage IV CM patients were included in our study, and 491 (85.60%) patients were included in the surgical group. The clinical characteristics (benefit group and non-benefit group) included age, M stage, lesion location, and ulceration status. These independent prognostic factors were includeed to construct a web-based nomogram. Conclusions: We constructed a web-based nomogram. This model was suitable for identifying the best candidates suitable for PSR in stage IV CM patients.

Analysis of the Clinical Effect of Natural Orifice Specimen Extraction Surgery Combined with Transanal Endoscopic Operations.

Background: To explore the clinical efficacy of natural orifice specimen extraction surgery (NOSES) combined with transanal endoscopic operations (TEOs) to remove specimens from the anus for laparoscopic radical resection of colorectal cancer. Methods: From January 2014 to May 2020, 120 colorectal cancer patients were selected as study samples, including 60 cases who underwent NOSES laparoscopic radical resection of colorectal cancer (experimental group) and 60 cases who underwent traditional laparoscopic radical resection of colorectal cancer (control group). The basic preoperative conditions, operative time, intraoperative blood loss, lymph node dissection, postoperative hospitalization time, postoperative exhaust and defecation time, postoperative anal function, and postoperative complications were analyzed retrospectively. Results: Sleep quality score (6.26 ± 1.16), pain score (2.95 ± 0.79), and hospitalization time (11.55 ± 3.79 days) were better than those for the control group (P < .05). There were no positive cases of incisal margin in both groups. Gastrointestinal function recovery time, blood loss, lymph node dissection, and postoperative complications were not statistically significant (P > .05). Conclusion: NOSES combined with TEOs has the advantages of less trauma, quick postoperative recovery, and low psychological pressure, so it is worth popularizing.

Construction, Validation, and Visualization of Two Web-Based Nomograms to Predict Overall and Cancer-Specific Survival in Patients with Gastric Cancer and Lung Metastases.

BACKGROUND: The lung is one of the most common sites of metastasis in gastric cancer. Our study developed two nomograms to achieve individualized prediction of overall survival (OS) and cancer-specific survival (CSS) in patients with gastric cancer and lung metastasis (GCLM) to better guide follow-up and planning of subsequent treatment. METHODS: We reviewed data of patients diagnosed with GCLM in the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. The endpoints of the study were the OS and CSS. We used the "caret" package to randomly divide patients into training and validation cohorts in a 7 : 3 ratio. Multivariate Cox regression analysis was performed using univariate Cox regression analysis to confirm the independent prognostic factors. Afterward, we built the OS and CSS nomograms with the "rms" package. Subsequently, we evaluated the two nomograms through calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, two web-based nomograms were built on the basis of effective nomograms. RESULTS: The OS analysis included 640 patients, and the results of the multivariate Cox regression analysis showed that grade, chemotherapy, and liver metastasis were independent prognostic factors for patients with GCLM. The CSS analysis included 524 patients, and the results of the multivariate Cox regression analysis showed that the independent prognostic factors for patients with GCLM were chemotherapy, liver metastasis, marital status, and tumor site. The ROC curves, calibration curves, and DCA revealed favorable predictive power in the OS and CSS nomograms. We created web-based nomograms for OS (https://zhenghh.shinyapps.io/aclmos/) and CSS (https://zhenghh.shinyapps.io/aslmcss/). CONCLUSIONS: We created two web-based nomograms to predict OS and CSS in patients with GCLM. Both web-based nomograms had satisfactory accuracy and clinical usefulness and may help clinicians make individualized treatment decisions for patients.