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Objective: The efficacy of lymph node ratio (LNR) as a prognostic indicator in locally advanced gastric cancer (LAGC) patients underwent radical resection after neoadjuvant immunochemotherapy (NICT) remains to be demonstrated. The objective of the current retrospective study is to investigate the relationship between LNR and survival in patients with LAGC who underwent radical resection after NICT. Methods: A retrospective analysis was performed on 121 cases of LAGC in patients underwent radical resection after NICT between July 2020 and October 2023. The LNR values of the patients were divided into two groups using X-tile software. The first group, designated the low LNR group, comprised patients with LNR values of ≤ 33%. The second group, designated the high LNR group, comprised patients with LNR values of > 33%. The correlation between patient survival rates and a range of clinical and pathological variables was examined. Results: Overall, 121 patients were enrolled: 108 with low-LNR (LNR ≤ 33%) and 13 with high-LNR (LNR > 33%). A better 2-year overall survival (OS) (88.5% vs. 32.6%; p < 0.001) and progression-free survival (PFS) (80.2% vs. 23.5%; p < 0.001) were observed in patients with low LNR. A similar result was also found in those with non-pathological complete response group (non-pCR), where the 2-year OS was 87.2% vs. 32.6% (p < 0.001), and the 2-year PFS was 77.7% vs. 23.5% (p < 0.001). Compared to the pathologic lymph nodes staging (ypN), LNR exhibited similar prognostic capabilities for OS and PFS. Multivariate analysis indicated that LNR was an independent prognostic factor for both OS (HR 6.258, 95% CI 1.798–21.778; p = 0.004) and PFS (HR 3.431, 95% CI 1.341–8.780; p = 0.010), but not ypN. Conclusions: LNR may serve as a viable indicator for prognostication in LAGC patients treated with NICT. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to determine the relationship between the lymph node ratio (LNR) and the prognostic values of gynecological cancer. Materials and Methods: PubMed, Web of Science, Embase, and the Central Cochrane Library were used to search for studies on LNR and gynecological cancer published before 18 April 2024. The effect measure for meta-analysis of primary outcomes was the hazard ratio (HR) for overall survival (OS), progressionfree survival (PFS), and disease-free survival (DFS). Pooled HRs and 95% confidence intervals (CIs) were calculated using random- or fixed-effects models. Sensitivity analysis was applied to evaluate the robustness of the results. The I2 statistic was used to measure heterogeneity. Subgroup analysis and meta-regression were chosen to illustrate the potential heterogeneity of the risk factors for outcomes. Publication bias was assessed using Egger's test and Begg's funnel plots. Results: A total of 34 studies with 23,202 cases were included in this metaanalysis. A meta-analysis found that higher LNR was associated with worse OS (HR = 2.42, 95% CI: 2.07-2.83; I2 = 77.4%, p < 0.05), PFS (HR = 1.97, 95% CI: 1.66-2.32; I2 = 0.00%, p > 0.05), and DFS (HR = 3.18, 95% CI: 2.12-4.76; I2 = 64.3%, p < 0.05). Moreover, meta-analysis revealed significant differences in the association between LNR and OS of cervical cancer (CC) (HR = 2.53, 95% CI: 1.94-3.31; I2 = 72.6%, p < 0.05), ovarian cancer (OC) (HR = 2.05, 95% CI: 1.66-2.54; I2 = 76.7%, p < 0.05), endometrial cancer (EC) (HR = 2.16, 95% CI: 1.48-3.16; I2 = 53.6%, p < 0.05), and vulvar cancer (VC) (HR = 8.13, 95% CI: 3.41-19.43; I2 = 57.2%, p < 0.05). Conclusion: We observed a clear association between higher LNR and poorer prognosis in our study of patients with gynecological cancer. Further prospective studies are warranted to determine the optimal LNR and whether LNR can guide adjuvant therapy use in gynecological cancer. It is essential to conduct further prospective studies to establish the optimal LNR threshold, determine the minimum threshold of lymph node removal, and investigate whether LNR can serve as a reliable marker for guiding adjuvant therapy choices in gynecological cancer. [ABSTRACT FROM AUTHOR]

The implications of extranodal extension (ENE) in oral carcinoma have been often related to prognosis and survival rates. The clinicopathologic predictive factors of this established prognostic factor were analyzed in this retrospective study. A total of 358 medical records of a single institution were screened. Primary outcome variable was ENE. Predictor variables were clinical tumour (cT) and nodal (cN) staging, tumour subsite, and pathologically tumour size, depth of invasion (DOI), lymph node ratio (LNR), presence, or absence of perineural invasion (PNI), lymphovascular invasion (LVI) and mandibular involvement. After scrutinization, 216 records met the inclusion and exclusion criteria. Presence of ENE was noted in 42.1% (91/216) of patients. In cN0 necks ENE was 34.7% which was statistically significant. The cut-off value for tumour size, DOI and LNR were, 7.28 cm, 9 mm and 0.05 with accuracy rates of 68%, 79% and 94% respectively. The odds of presence ENE were highest with bone involvement (2.91) followed by PNI (2.34) and lastly LVI (2.17). In conclusion, these predictive factors can be used to fortify the pathologic diagnostic criteria of ENE. [ABSTRACT FROM AUTHOR]

Aim: The prognosis for gastric cancer (GC) remains grim, underscoring the importance of accurate staging and treatment. Given the potential benefits of using lymph node ratio (LNR) for improved prognostication and treatment planning, it is critical to incorporate examined lymph nodes (ELN) count in an integrated GC staging system. Methods: Patients data from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was utilized as training set. The Mantel-Cox survival test was used to calculate chi-square values for 40 LNR segments with a 0.025 interval, defining a novel LNR-based N (rN) classification based on the cutoff points. A revised AJCC (rAJCC) staging system was established by replacing the 8th AJCC N staging with a rN classification. The relationship between the ELN count and prognosis or positive lymph node detection was conducted by using multivariable models. The series of the odds ratios and hazard ratios were fitted with a locally weighted scatterplot smoothing (LOWESS) smoother, and the structural break points were determined by Chow test to clarify an optimal minimum ELN count. The integrated GC staging system incorporated both rAJCC system and the ideal ELN count. Discriminatory ability and prognostic homogeneity of the rAJCC and integrated staging system was compared with AJCC staging system in the SEER validation set (2016–2017), the Cancer Genome Atlas Program (TCGA) database, and the Third Affiliated Hospital of Sun Yat-sen University database. Results: The current study found that LNR and ELN count are both significantly associated with the prognosis of GC patients (HR = 0.98, p < 0.001 and HR = 2.51, p < 0.001). Four peaks of the chi-square value were identified as LNR cut-off points at 0.025, 0.175, 0.45 and 0.6 to define a novel rN stage. In comparison to the 8th AJCC staging system, the rAJCC staging system demonstrated significant prognostic advantages and discriminatory ability in the training set (5-Y OS AUC: 71.7 vs. 73.0; AIC: 57,290.7 vs. 57,054.9). The superiority of the rAJCC staging system was confirmed in all validation sets. Using a LOWESS smoother and Chow test, a threshold ELN count of 30 was determined to maximum improvement in the prognosis of node-negative patients without downgrading due to potential metastasis, while also maximizing the detection efficiency of at least one involved lymph node. The integrated staging system, combining the refined rAJCC classification with an optimized ELN count threshold, has demonstrated superior discriminatory performance compared to the standalone rAJCC or the traditional AJCC system. Conclusion: The development of a novel GC staging system, which integrated the LNR-based N classification and the minimum ELN count, has exhibited superior prognostic accuracy, holding promise as a valuable asset in the clinical management of GC. However, it is crucial to recognize the limitations from the retrospective database, which should be addressed in subsequent analyses. [ABSTRACT FROM AUTHOR]

Abstract Objective The efficacy of lymph node ratio (LNR) as a prognostic indicator in locally advanced gastric cancer (LAGC) patients underwent radical resection after neoadjuvant immunochemotherapy (NICT) remains to be demonstrated. The objective of the current retrospective study is to investigate the relationship between LNR and survival in patients with LAGC who underwent radical resection after NICT. Methods A retrospective analysis was performed on 121 cases of LAGC in patients underwent radical resection after NICT between July 2020 and October 2023. The LNR values of the patients were divided into two groups using X-tile software. The first group, designated the low LNR group, comprised patients with LNR values of ≤ 33%. The second group, designated the high LNR group, comprised patients with LNR values of > 33%. The correlation between patient survival rates and a range of clinical and pathological variables was examined. Results Overall, 121 patients were enrolled: 108 with low-LNR (LNR ≤ 33%) and 13 with high-LNR (LNR > 33%). A better 2-year overall survival (OS) (88.5% vs. 32.6%; p

Abstract Background To identify the cut-off values for the number of metastatic lymph nodes (nMLN) and lymph node ratio (LNR) that can predict outcomes in patients with FIGO 2018 IIICp cervical cancer (CC). Methods Patients with CC who underwent radical hysterectomy with pelvic lymphadenectomy were identified for a propensity score-matched (PSM) cohort study. A receiver operating characteristic (ROC) curve analysis was performed to determine the critical nMLN and LNR values. Five-year overall survival (OS) and disease-free survival (DFS) rates were compared using Kaplan–Meier and Cox proportional hazard regression analyses. Results This study included 3,135 CC patients with stage FIGO 2018 IIICp from 47 Chinese hospitals between 2004 and 2018. Based on ROC curve analysis, the cut-off values for nMLN and LNR were 3.5 and 0.11, respectively. The final cohort consisted of nMLN ≤ 3 (n = 2,378) and nMLN > 3 (n = 757) groups and LNR ≤ 0.11 (n = 1,748) and LNR > 0.11 (n = 1,387) groups. Significant differences were found in survival between the nMLN ≤ 3 vs the nMLN > 3 (post-PSM, OS: 76.8% vs 67.9%, P = 0.003; hazard ratio [HR]: 1.411, 95% confidence interval [CI]: 1.108–1.798, P = 0.005; DFS: 65.5% vs 55.3%, P 0.11 (post-PSM, OS: 82.5% vs 76.9%, P = 0.010; HR: 1.407, 95% CI: 1.103–1.794, P = 0.006; DFS: 72.8% vs 65.1%, P = 0.002; HR: 1.347, 95% CI: 1.110–1.633, P = 0.002) groups. Conclusions This study found that nMLN > 3 and LNR > 0.11 were associated with poor prognosis in CC patients.

Abstract The current study aimed to evaluate the effect of lymph node ratio (LNR) on the short-term and long-term outcomes of colorectal cancer (CRC) patients who underwent radical CRC surgery. We retrospectively collected CRC patients who underwent radical surgery from Jan 2011 to Jan 2020 in a single-center hospital. The patients were divided into the high LNR group and the low group according to the median. The baseline information and the short-term outcomes were compared between the high group and the low group. Univariate and multivariate logistic regression was performed to analyze the independent predictors for overall survival (OS) and disease-free survival (DFS). A 1:1 proportional propensity score matching (PSM) was used to reduce the selection bias between the two groups. Kaplan–Meier method was used to estimate the OS and DFS between the two groups in different T stages. A total of 1434 CRC patients undergoing radical surgery were enrolled in this study, and there were 730 (50.9%) patients in the low LNR group and 704 (49.1%) patients in the high LNR group. After the PSM, there were 618 patients in both groups, the baseline characteristics between the two groups had no significant difference (p > 0.05). After comparing the Surgery-related information and The Short-term outcomes, the high LNR group had a longer hospital stay (after PSM, p

Background: Inguinal lymph node (LN) metastasis and particularly the number of metastatic lymph nodes (NMLN) represent a determinant prognostic factor in vulvar squamous cell carcinoma (VSCC). However, the NMLN may be related to the number of removed LNs. Therefore, the lymph node ratio (LNR) reflects not only the burden of LN involvement but also the quality and extent of lymphadenectomy. Objectives: To investigate the value of the LNR and the count of LN on overall survival (OS) and recurrence-free survival (RFS). Design: This study is a retrospective, longitudinal, institution-based study. Methods: This study included 192 patients treated for VSCC at the Salah Azaiez Institute between 1994 and 2022. Clinical, pathological, and evolutionary data were reported. Survival curves were generated by the Kaplan–Meier method, and predictive factors of outcome were analyzed using Cox proportional hazards models. Results: Surgery consisted of a radical vulvectomy, hemivulvectomy, and pelvic exenteration in, respectively, 96.4%, 2.1%, and 1.6% of cases followed by adjuvant radiotherapy in 38.5% of cases. LN dissection was bilateral in 88.5% of cases. LNR = 0, LNR = 0–0.2, and LNR ⩾0.2 were recorded in, respectively, 64.7%, 22.1%, and 13.2% of cases. With a mean follow-up time of 35 ± 42.06 months, the 5-year OS was 52.5% and the 5-year RFS was 55.8%. On multivariate analysis, the independent prognostic factors of OS were the LNR (hazard ratio (HR) = 5.702; 95% confidence interval (CI) = 2.282–14.245; p < 0.0001), Federation of Gynecology and Obstetrics (FIGO) stage (HR = 2.089; 95% CI = 1.028–4.277; p = 0.042), and free margins (HR = 2.247; 95% CI = 1.215–4.155; p = 0.01). Recurrences were recorded in 37.5% of cases. Independent prognostic factors of RFS were the LNR (HR = 2.911; 95% CI = 1.468–5.779; p = 0.002), FIGO stage (HR = 1.835; 95% CI = 1.071–3.141; p = 0.027), and free margins (HR = 2.091; 95% CI = 1.286–3.999; p = 0.003). Conclusion: Surgical margin, FIGO stage, and LNR represent the independent prognostic factors of survival and LNR showed superior prognostic predictive accuracy compared with the revised 2021 FIGO staging system for predicting OS and RFS in VSCC. [ABSTRACT FROM AUTHOR]

Purpose: This study investigated the impacts of the number of positive lymph nodes (NPLN) and lymph node ratio (LN ratio) for patients with hypopharyngeal squamous cell carcinoma (HPSCC) based on SEER database, which were validated in the real-world data of China. Methods: A total of 520 patients from SEER database were analyzed. Then 195 patients with pathologically stage III or IV HPSCC in our center were retrospectively studied. Results: In the SEER database, NPLN ≥ 3 was found in 36.9% of patients. Multivariate analysis revealed that LN ratio ≥ 0.138 was significant with poorer overall survival (OS) (hazard ratio [HR] = 1.525, p = 0.001) and cancer-specific survival (CSS) (HR = 1.697, p < 0.001), so was the NPLN ≥ 3 (HR = 1.388, p = 0.013; HR = 1.479, p = 0.008). Patients with NPLN ≥ 3 were found in 103 (52.8%) in our center. Multivariate analysis confirmed a significant association regarding OS (p = 0.005) or CSS (p = 0.003) between patients with LN ratio ≥ 0.138 or not. In addition, disease recurrence rate differed significantly between the patients with NPLN ≥ 3 (27.2%) and NPLN < 3 (14.1%, p = 0.026). Moreover, postoperative chemoradiotherapy (CCRT) was significantly associated with better prognosis in patients with NPLN ≥ 3. Conclusion: In the SEER database, NPLN ≥ 3 and LN ratio ≥ 0.138 were independent poor prognostic factors for patients with HPSCC. Whereas identifying worldwide cut-off values for LN ratio is difficult and surgeon-dependent. In our cohort, adjuvant CCRT was beneficial for OS in patients with NPLN ≥ 3. [ABSTRACT FROM AUTHOR]

Background: Lymph node ratio (LNR) is suggested to address the shortcomings of using only lymph node yield (LNY) or status in colorectal cancer (CRC) prognosis. This study explores how LNR affects survival in patients with metastatic colorectal cancer (mCRC), seeking to provide clearer insights into its application. Methods: This observational cohort study investigated stage IV patients with CRC (1995–2021) who underwent an upfront resection of their primary tumour at Concord Hospital, Sydney. Clinicopathological data were extracted from a prospective database, and LNR was calculated both continuously and dichotomously (LNR of 0 and LNR > 0). The primary endpoint was overall survival (OS). The associations between LNR and various clinicopathological variables were tested using regression analyses. Kaplan–Meier and Cox regression analyses estimated OS in univariate and multivariate survival models. Results: A total of 464 patients who underwent a primary CRC resection with clear margins (mean age 68.1 years [SD 13.4]; 58.0% M; colon cancer [n = 339,73.1%]) had AJCC stage IV disease. The median LNR was 0.18 (IQR 0.05–0.42) for colon cancer (CC) resections and 0.21 (IQR 0.09–0.47) for rectal cancer (RC) resections. A total of 84 patients had an LNR = 0 (CC = 66 patients; RC = 18 patients). The 5-year OS for the CC cohort was 10.5% (95% CI 8.7–12.3) and 11.5% (95% CI 8.4–14.6) for RC. Increasing LNR demonstrated a decline in OS in both CC (P < 0.001) and RC (P < 0.001). In patients with non-lymphatic dissemination only (LNR = 0 or N0 status), there was better survival compared with those with lymphatic spread (CC aHR1.50 [1.08–2.07;P = 0.02], RC aHR 2.21 [1.16–4.24;P = 0.02]). Conclusions: LNR is worthy of consideration in patients with mCRC. An LNR of 0 indicates patients have a better prognosis, underscoring the need for adequate lymphadenectomy to facilitate precise mCRC staging. [ABSTRACT FROM AUTHOR]

Introduction: Lymph node ratio (LNR) and number of pathological positive nodes (pN) have shown better prognostic prediction compared to laterality, size and number of nodes (single or multiple). This study evaluates the prognostic significance of LNR and the number of pathological positive nodes in predicting the outcomes of node positive oral squamous cell carcinoma(OSCC). It attempts to assess the prognostic heterogeneity between oral tongue and gingivobuccal complex tumours based on the lymph node ratio and the number of pathological positive nodes. Materials and Methods: A retrospective chart review of 498 previously untreated OSCC patients from January 2014 to December 2017 at our tertiary cancer institute was done. Our analysis included 133 oral tongue and 79 gingivobuccal tumours with histopathologically proven lymph node metastasis. The impact of LNR and number of positive nodes on overall survival and disease free survival was studied. Results: Overall survival rate was found to vary significantly based on LNR (> 0.06) and number of positive nodes (> 2). Overall survival reduced significantly in GBC tumours when LNR was more than 0.06(63.37 vs 32.1, p 0.005) but the same trend was not seen with tongue cancers (55.61 vs 41.9, p 0.98). Both the groups shown no difference in DFS based on LNR. Overall survival reduced significantly in both the groups when >2o pathologically positive nodes were present but disease free survival did not vary significantly in both the groups. Conclusion: Lymph node ratio (> 0.06) and number of pathological positive nodes (> 2) provide a better prognostic stratification in node positive oral squamous cell carcinoma. Oral tongue and GBC tumours were found to have a differential impact on overall survival rate on the stratification based on LNR. [ABSTRACT FROM AUTHOR]

This study attempted to compare the prognostic performance of lymph node ratio (LNR) staging system with different cutoff values relative to American Joint Committee on Cancer (AJCC) pN staging system in stage III colorectal cancer (CRC). Overall, 45,069 patients from the SEER dataset and 69 patients from the Second Affiliated Hospital of Nanjing Medical University (the External set) who underwent surgical resection of the primary tumor and were diagnosed with stage III CRC by postoperative pathology were included. Patients were divided into three subgroups based on the LNR cutoff used in previous studies, Kaplan–Meier curves were plotted, and log-rank test was used to compare the differences among groups in terms of cancer-specific survival (CSS). Cox regression model was applied for survival analysis. To evaluate the discriminatory power of different lymph node staging systems, Harrell's C statistic(C-index) and Akaike's Information Criterion (AIC) were applied. A set of optimal cutoff values (0.11; 0.36; 0.66) of LNR staging system with the most considerable discriminatory power to the prognosis in patients with stage III CRC (SEER set: C-index = 0.714; AIC = 58,942.46, External set: C-index = 0.809; AIC = 164.36) were obtained, and both were superior to the AJCC pN staging system (SEER set: C-index = 0.708; AIC = 59,071.20, External set: C-index = 0.788; AIC = 167.06). For evaluating the prognostic efficacy of patients with stage III colorectal cancer, the cutoff value (0.11; 0.36; 0.66) of LNR staging system had the best discrimination and prognostic ability, which was superior to LNR staging system under other cutoff values and AJCC pN staging system. [ABSTRACT FROM AUTHOR]

The current study aimed to evaluate the effect of lymph node ratio (LNR) on the short-term and long-term outcomes of colorectal cancer (CRC) patients who underwent radical CRC surgery. We retrospectively collected CRC patients who underwent radical surgery from Jan 2011 to Jan 2020 in a single-center hospital. The patients were divided into the high LNR group and the low group according to the median. The baseline information and the short-term outcomes were compared between the high group and the low group. Univariate and multivariate logistic regression was performed to analyze the independent predictors for overall survival (OS) and disease-free survival (DFS). A 1:1 proportional propensity score matching (PSM) was used to reduce the selection bias between the two groups. Kaplan–Meier method was used to estimate the OS and DFS between the two groups in different T stages. A total of 1434 CRC patients undergoing radical surgery were enrolled in this study, and there were 730 (50.9%) patients in the low LNR group and 704 (49.1%) patients in the high LNR group. After the PSM, there were 618 patients in both groups, the baseline characteristics between the two groups had no significant difference (p > 0.05). After comparing the Surgery-related information and The Short-term outcomes, the high LNR group had a longer hospital stay (after PSM, p < 0.01). In univariate and multivariate logistic regression analyses, age (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), tumor location (univariate analysis, p = 0.020; multivariate analysis, p = 0.024), lymph-vascular space invasion (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), cancer nodules (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), tumor size (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), LNR (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), and overall complications (univariate analysis, p < 0.01; multivariate analysis, p < 0.01) were independent risk factors for OS, and age (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), tumor location (univariate analysis, p = 0.032; multivariate analysis, p = 0.031), T stage (univariate analysis, p < 0.01; multivariate analysis, p = 0.014), lymph-vascular space invasion (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), cancer nodules (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), LNR (univariate analysis, p < 0.01; multivariate analysis, p < 0.01), and overall complications (univariate analysis, p < 0.01; multivariate analysis, p < 0.01) were identified as independent risk factors for DFS. The high LNR group had a worse OS in T3 (p < 0.01) and T4 (p < 0.01) as well as a worse DFS in T3 (p < 0.01) and T4 (p < 0.01). No association was found between LNR and postoperative complications, but the high LNR group had a longer hospital stay. LNR was identified as an independent predictor for OS and DFS. Furthermore, high LNR had a worse OS and DFS under T3 and T4 stages. Therefore, LNR was more prognostically significant for CRC patients under T3 and T4 stages. [ABSTRACT FROM AUTHOR]

Background: The current risk stratification methods for Pediatric Differentiated Thyroid Carcinoma (DTC) are deemed inadequate due to the high recurrence rates observed in this demographic. This study investigates alternative clinicopathological factors, specifically the Central Lymph Node Ratio (CLNR), for improved risk stratification in pediatric DTC. Methods: A retrospective review of 100 pediatric DTC patients, aged 19 or younger, treated between December 2012 and January 2021 at the First Affiliated Hospital of Guangxi Medical University was conducted. Clinicopathological variables were extracted, and univariate logistic regression identified factors correlated with recurrence. Kaplan-Meier (KM) survival analysis and subsequent statistical tests were used to assess the significance of these factors. Results: The CLNR, with a cutoff value of 77.78%, emerged as a significant predictor of recurrence. Patients with a CLNR above this threshold had a 5.467 times higher risk of recurrence. The high CLNR group showed a higher proportion of male patients, clinically lymph node positivity (cN1), and extrathyroidal extension (ETE) compared to the low-risk group (p<0.05). Conclusion: CLNR is a valuable predictor for recurrence in pediatric DTC and aids in stratifying patients based on Recurrence-Free Survival (RFS). For patients with a high CLNR, aggressive iodine-131 therapy, stringent TSH suppression, and proactive postoperative surveillance are recommended to mitigate recurrence risk and facilitate timely detection of recurrent lesions. [ABSTRACT FROM AUTHOR]

Aim The prognosis for gastric cancer (GC) remains grim, underscoring the importance of accurate staging and treatment. Given the potential benefits of using lymph node ratio (LNR) for improved prognostication and treatment planning, it is critical to incorporate examined lymph nodes (ELN) count in an integrated GC staging system. Methods Patients data from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was utilized as training set. The Mantel-Cox survival test was used to calculate chi-square values for 40 LNR segments with a 0.025 interval, defining a novel LNR-based N (rN) classification based on the cutoff points. A revised AJCC (rAJCC) staging system was established by replacing the 8th AJCC N staging with a rN classification. The relationship between the ELN count and prognosis or positive lymph node detection was conducted by using multivariable models. The series of the odds ratios and hazard ratios were fitted with a locally weighted scatterplot smoothing (LOWESS) smoother, and the structural break points were determined by Chow test to clarify an optimal minimum ELN count. The integrated GC staging system incorporated both rAJCC system and the ideal ELN count. Discriminatory ability and prognostic homogeneity of the rAJCC and integrated staging system was compared with AJCC staging system in the SEER validation set (2016–2017), the Cancer Genome Atlas Program (TCGA) database, and the Third Affiliated Hospital of Sun Yat-sen University database. Results The current study found that LNR and ELN count are both significantly associated with the prognosis of GC patients (HR = 0.98, p < 0.001 and HR = 2.51, p < 0.001). Four peaks of the chi-square value were identified as LNR cut-off points at 0.025, 0.175, 0.45 and 0.6 to define a novel rN stage. In comparison to the 8th AJCC staging system, the rAJCC staging system demonstrated significant prognostic advantages and discriminatory ability in the training set (5-Y OS AUC: 71.7 vs. 73.0; AIC: 57,290.7 vs. 57,054.9). The superiority of the rAJCC staging system was confirmed in all validation sets. Using a LOWESS smoother and Chow test, a threshold ELN count of 30 was determined to maximum improvement in the prognosis of node-negative patients without downgrading due to potential metastasis, while also maximizing the detection efficiency of at least one involved lymph node. The integrated staging system, combining the refined rAJCC classification with an optimized ELN count threshold, has demonstrated superior discriminatory performance compared to the standalone rAJCC or the traditional AJCC system. Conclusion The development of a novel GC staging system, which integrated the LNR-based N classification and the minimum ELN count, has exhibited superior prognostic accuracy, holding promise as a valuable asset in the clinical management of GC. However, it is crucial to recognize the limitations from the retrospective database, which should be addressed in subsequent analyses.

Background: In colorectal cancer (CRC), tumor deposits (TD) have been used to guide the N staging only in node-negative patients. It remains unknown about the prognostic value of TD in combination with positive lymph node ratio (LNR) in stage III CRC. Patients and methods: The authors analyzed data from 31 139 eligible patients diagnosed with stage III CRC, including 30 230 from the Surveillance, Epidemiology, and End Results (SEER) database as a training set and 909 from two Chinese hospitals as a validation set. The associations of TD and LNR with cancer-specific survival (CSS) and overall survival (OS) were evaluated using the Kaplan-Meier method and Cox regression models. Results: Both TD-positive and high LNR (value =0.4) were associated with worse CSS in the training [multivariable hazard ratio (HR), 1.50; 95% CI: 1.43-1.58 and HR, 1.74; 95% CI: 1.62-1.86, respectively] and validation sets (HR, 1.90; 95% CI: 1.41-2.54 and HR, 2.01; 95% CI: 1.29-3.15, respectively). Compared to patients with TD-negative and low LNR (value <0.4), those with TDpositive and high LNR had a 4.09-fold risk of CRC-specific death in the training set (HR, 4.09; 95% CI: 3.54-4.72) and 4.60-fold risk in the validation set (HR, 4.60; 95% CI: 2.88-7.35). Patients with TD-positive/H-LNR CRC on the right side had the worst prognosis (P <0.001). The combined variable of TD and LNR contributed the most to CSS prediction in the training (24.26%) and validation (32.31%) sets. A nomogram including TD and LNR showed satisfactory discriminative ability, and calibration curves indicated favorable consistency in both the training and validation sets. Conclusions: TD and LNR represent independent prognostic predictors for stage III CRC. A combination of TD and LNR could be used to identify those at high-risk of CRC deaths. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to assess the prognostic significance of lymph node yield (LNY), lymph node ratio (LNR), and the number of lymph node metastases (LNMs) in patients affected by oral squamous cell carcinoma (OSCC). Methods: The study included patients who underwent surgical treatment for primary OSCC. Receiver operating characteristic curves were generated to determine the optimal threshold values. Kaplan–Meier curves were employed, along with the log‐rank test, for the analysis of survival. To compare the performance in terms of model fit, we computed Akaike's information criterion (AIC). Results: This study enrolled 429 patients. Prognostic thresholds were determined at 22 for LNY, 6.6% for LNR, and 3 for the number of LNMs. The log‐rank test revealed a significant improvement in both overall survival and progression‐free survival for patients with a LNR of ≤6.6% or a number of LNMs of ≤3 (p < 0.05). Interestingly, LNY did not demonstrate prognostic significance. The AIC analyses indicated that the number of LNMs is a superior prognostic indicator compared to LNY and LNR. Conclusions: Incorporating LNR or the number of LNMs into the TNM classification has the potential to improve the prognostic value, as in other types of cancers. Particularly, the inclusion of the number of LNMs should be contemplated for future N staging. [ABSTRACT FROM AUTHOR]

Abstract Background Lymph node ratio (LNR) may offer superior prognostic stratification in colorectal adenocarcinoma compared with N stage. However, candidate cutoff ratios require validation. We aimed to study the prognostic significance of LNR and its optimal cutoff ratio. Methods We reviewed the pathology records of all patients with stage III colorectal adenocarcinoma who were managed at the King Hussein Cancer Center between January 2014 and December 2019. We then studied the clinical characteristics of the patients, correlates of lymph node count, prognostic significance of positive lymph nodes, and value of sampling additional lymph nodes. Results Among 226 included patients, 94.2% had ≥ 12 lymph nodes sampled, while 5.8% had

Background: The prognostic value of lymph node ratio (LNR) has been proved in several cancers. However, the potential of LNR to be a prognostic factor for thyroid cancer has not been validated so far. This article evaluated the prognostic value of LNR for thyroid cancer through a meta-analysis. Methods: A systematic search was conducted for eligible publications that study the prognostic values of LNR for thyroid cancer in the databases of PubMed, EMBASE, Cochrane, and Web of Science up until October 24, 2023. The quality of the eligible studies was evaluated by The Newcastle-Ottawa Assessment Scale of Cohort Study. The effect measure for meta-analysis was Hazard Ratio (HR). Random effect model was used to calculate the pooled HR and 95% confidence intervals. A sensitivity analysis was applied to assess the stability of the results. Subgroup analysis and a meta-regression were performed to explore the source of heterogeneity. And a funnel plot, Begg's and Egger's tests were used to evaluate publication bias. Results: A total of 15,698 patients with thyroid cancer from 24 eligible studies whose quality were relatively high were included. The pooled HR was 4.74 (95% CI:3.67-6.11; P<0.05) and a moderate heterogeneity was shown (I2 = 40.8%). The results of meta-analysis were stable according to the sensitivity analysis. Similar outcome were shown in subgroup analysis that higher LNR was associated with poorer disease-free survival (DFS). Results from meta-regression indicated that a combination of 5 factors including country, treatment, type of thyroid cancer, year and whether studies control factors in design or analysis were the origin of heterogeneity. Conclusion: Higher LNR was correlated to poorer disease free survival in thyroid cancer. LNR could be a potential prognostic indicator for thyroid cancer. More effort should be made to assess the potential of LNR to be included in the risk stratification systems for thyroid cancer. [ABSTRACT FROM AUTHOR]

Uterine carcinosarcoma is a rare high-grade endometrial cancer. Controversy has surrounded a number of aspects in the diagnosis and management of this unique clinicopathological entity, including the efficacy of adjuvant therapy, which has been questioned. An unusual surgico-pathological parameter with prognostic significance in a number of tumour sites is the lymph node ratio (LNR). The availability of data in this respect has been scarce in the literature. The primary aim of this collaborative study was to evaluate the prognostic value of LNR in patients with uterine carcinosarcoma. LNR is a recognized lymph node metric used to stratify prognosis in a variety of malignancies. In this European multinational retrospective study, 93 women with uterine carcinosarcoma were included in the final analysis. We used t-tests and ANOVA for comparison between quantitative variables between the groups, and chi-square tests for qualitative variables. A multivariate analysis using Cox regression analysis was performed to determine potential prognostic factors, including the LNR. Patients were grouped with respect to LNR in terms of 0%, 20% > 0% and >20%. The analysis revealed LNR to be a significant predictor of progression-free survival (HR 1.69, CI (1.12–2.55), p = 0.012) and overall survival (HR 1.71, CI (1.07–2.7), p = 0.024). However, LNR did not remain a significant prognostic factor on multivariate analysis. Due to limitations of the retrospective study, a prospective large multinational study, which takes into effect the most recent changes to clinical practice, is warranted to elucidate the value of the pathophysiological metrics of the lymphatic system associated with prognosis. [ABSTRACT FROM AUTHOR]

Simple Summary: In patients with colon cancer, the number of lymph nodes examined during surgery can have a significant impact on their long-term survival. We conducted a study with over 7000 patients and found that those who had at least 12 lymph nodes evaluated had better survival rates. A younger age, specific cancer stages, and a right-sided tumor location were associated with a higher number of lymph nodes examined. Additionally, we discovered that the ratio of metastatic to examined nodes (LNR) was a valuable predictor of survival and provided more precise information than the conventional pN classification system. This research emphasizes the importance of a thorough lymph node evaluation in colon cancer patients for accurate prognosis and treatment decisions. Due to the impact of nodal metastasis on colon cancer prognosis, adequate regional lymph node resection and accurate pathological evaluation are required. The ratio of metastatic to examined nodes may bring an additional prognostic value to the actual staging system. This study analyzes the identification of factors influencing a high lymph node yield and its impact on survival. The lymph node ratio was determined in patients with fewer than 12 or at least 12 evaluated nodes. The study included patients after radical colon cancer resection in UICC stages II and III. For the lymph node ratio (LNR) analysis, node-positive patients were divided into four categories: i.e., LNR 1 (<0.05), LNR 2 (≥0.05; <0.2), LNR 3 (≥0.2; <0.4), and LNR 4 (≥0.4), and classified into two groups: i.e., those with <12 and ≥12 evaluated nodes. The study was conducted on 7012 patients who met the set criteria and were included in the data analysis. The mean number of examined lymph nodes was 22.08 (SD 10.64, median 20). Among the study subjects, 94.5% had 12 or more nodes evaluated. These patients were more likely to be younger, women, with a lower ASA classification, pT3 and pN2 categories. Also, they had no risk factors and frequently had a right-sided tumor. In the multivariate analysis, a younger age, ASA classification of II and III, high pT and pN categories, absence of risk factors, and right-sided location remained independent predictors for a lymph node yield ≥12. The univariate survival analysis of the entire cohort demonstrated a better five-year overall survival (OS) in patients with at least 12 lymph nodes examined (68% vs. 63%, p = 0.027). The LNR groups showed a significant association with OS, reaching from 75.5% for LNR 1 to 33.1% for LNR 4 (p < 0.001) in the ≥12 cohort, and from 74.8% for LNR2 to 49.3% for LNR4 (p = 0.007) in the <12 cohort. This influence remained significant and independent in multivariate analyses. The hazard ratios ranged from 1.016 to 2.698 for patients with less than 12 nodes, and from 1.248 to 3.615 for those with at least 12 nodes. The LNR allowed for a more precise estimation of the OS compared with the pN classification system. The metastatic lymph node ratio is an independent predictor for survival and should be included in current staging and therapeutic decision-making processes. [ABSTRACT FROM AUTHOR]

Eda Caliskan Yildirim,1 Yusuf Acikgoz,2 Yakup Ergun,2 Efnan Algin,2 Oznur Bal2 1Dokuz Eylul University, Department of Internal Medicine, Division of Medical Oncology, Izmir, Turkey; 2Health Sciences University Ankara City Hospital, Department of Medical Oncology, Ankara, TurkeyCorrespondence: Eda Caliskan Yildirim, Dokuz Eylul University, Department of Internal Medicine, Division of Medical Oncology, Izmir, 35340, Turkey, Tel +905545070442, Email caliskan_eda@yahoo.comPurpose: N3 gastric cancer is characterized by a fairly high lymph node metastasis burden and poor outcome despite optimal therapy. Given the limitations of TNM classification, a comprehensive evaluation tool is necessary to predict the prognosis of patients with N3 gastric cancer who underwent curative surgery. This study aims to explore the outcomes and clinicopathologic prognostic factors affecting the overall survival (OS) of patients with N3 gastric cancer after surgery.Methods: Data on patients with N3 gastric cancer who underwent (sub)total gastrectomy and regional lymph node dissection between November 2005 and September 2018 (n = 169) were analyzed by Cox regression to determine the independent prognostic factors for OS.Results: The multivariable analysis established that gender, patient performance status, metastatic lymph node ratio (MLNR), tumor grade, and adjuvant chemotherapy are significantly associated with OS. The five-year OS of the study population was 15%. Adjuvant chemoradiotherapy was applied to 72% of the patients, which resulted in an improvement in recurrence-free survival but not OS. Recurrence occurred in 103 (75%) patients, in which the most frequent recurrence site was distant metastasis.Conclusion: Male gender, poor performance status, grade 3 tumor, MLNR > 0.37, and not receiving adjuvant chemotherapy are predictors of poor prognosis in N3 gastric cancer after curative resection. Considering the high recurrence rates of this group, prospective studies are needed to optimize treatment strategies.Keywords: gastric cancer, prognosis, N3, lymph node ratio, recurrence pattern

Oral cavity squamous cell carcinoma is one of the leading localizations in the structure of head and neck cancers in the Russian federation and in the world. Neck metastases are the key criterion which influence to survival, recurrence, and distant metastases in patients with oral squamous cell carcinoma. Neck dissection is a main step in the surgical treatment of oral squamous cell carcinoma. This literature review analyzes data on possible methods for assessing the quality of neck dissection in squamous cell carcinoma of the oral cavity. Evaluation criteria can be conditionally divided into prognostic (lymph node extracapsular extension, the size of the largest neck metastasis, lymph node yield, lymph node ratio, metastasis topography) and qualitative (lymph node yield, lymph node ratio). Nowadays, there are some prognostic factors of surgical specimen after neck dissection which we use in clinical practice except for lymph node yield, lymph node ratio. This paper analyzes the criteria for an objective assessment of the quality of the operation “neck dissection”. The clinical and prognostic significance of these parametrs is considered.

Background: The matter of postoperative radiotherapy (PORT) in esophageal cancer (ESCA) was far from conclusive. Some evidence indicated that lymph node status could affect treatment. We evaluated lymph node ratio (LNR) as an indicator that could be applied to predict PORT benefit. Methods: Retrospective cohort study collected the data of N1, N2, N3 stage ESCA patients from the Surveillance, Epidemiology, and End Results database (SEER) to analyze the association between LNR and prognosis from 2004 to 2015. Patients were categorized into two subsets based on the LNR cut-off value of 0.23 using receiver operating characteristic curve (ROC). Kaplan–Meier analysis was utilized to estimate the proportion of overall survival (OS) and esophagus cancer-specific survival (CSS) in two LNR groups. Cox regression analysis and competitive risk model was adopted to investigate the impacts of LNR on prognosis. Results: Of 2,165 ESCA patients identified, 1,165 (53.8%) had LNR>0.23. The LNR was an independent prognostic factor and associated with better OS and CSS of LNR≤0.23 (P 0.23 (HR = 1.71; 95% CI 1.53–1.91). Subgroup analyses indicated that PORT was associated with favorable OS and CSS. Furthermore, when stratified by Node stage, PORT was associated with a survival benefit only in N1 stage with higher LNR (LNR>0.23) after adjusting for other covariates. Conclusions: LNR exceeding 0.23 was negatively associated with prognosis in ESCA. The survival benefit from PORT in ESCA seems to be limited to LNR of 23% or more only in N1 stage. This study highlights the biomarker meaning of LNR on identifying PORT beneficiary in N1 stage.

Abstract Background Tumor-node-metastasis (TNM) staging is the central gastric cancer (GC) staging system, but it has some disadvantages. However, the lymph node ratio (LNR) can be used regardless of the type of lymphadenectomy and is considered an important prognostic factor. This study aimed to evaluate the relationship between LNR and survival in patients who underwent curative GC surgery. Methods All patients who underwent radical gastric surgery between January 2014 and June 2022 were retrospectively evaluated. Clinicopathological features of tumors, TNM stage, and survival rates were analyzed. LNR was defined as the ratio between metastatic lymph nodes and total lymph nodes removed. The LNR groups were classified as follows: LNR0 = 0, 0.01 0.25. Tumor characteristics and overall survival (OS) of the patients were compared between LNR groups. Results After exclusion, 333 patients were analyzed. The mean age was 62 ± 14 years. According to the LNR classification, no difference was found between groups regarding age and sex. However, TNM stage III disease was significantly more common in LNR3 patients. Most patients (43.2%, n = 144) were in the LNR3 group. In terms of tumor characteristics (lymphatic, vascular, and perineural invasion), the LNR3 group had significantly poorer prognostic factors. The Cox regression model defined LNR3, TNM stage II—III disease, and advanced age as independent risk factors for survival. Patients with LNR3 demonstrated the lowest 5-year OS rate (35.7%) (estimated mean survival was 30 ± 1.9 months) compared to LNR 0–1–2. Conclusion Our study showed that a high LNR was significantly associated with poor OS in patients who underwent curative gastrectomy. LNR can be used as an independent prognostic predictor in GC patients.

The lymph node ratio (LNR) is regarded as a prognostic indicator in esophageal cancer (EC), but its applicability to neoadjuvant immunochemotherapy (NICT) in esophageal squamous cell carcinoma (ESCC) remains unexplored. This retrospective study, conducted between 2019 and 2021, analyzed ESCC patients who underwent radical esophagectomy following NICT. Patients were divided into two groups based on their LNR values according to the X-tile software: Low-LNR group (LNR 0-10%) and High-LNR group (LNR 10-100%). The association between LNR and clinical outcomes in ESCC after NICT were analyzed. A total of 212 ESCC patients who underwent surgery after NICT were included in this study, among which, 169 (79.7%) and 43 (20.3%) cases were allocated to the Low- and High-LNR groups, respectively. Pathologic complete response (PCR) was observed in 28.3% (60/212) of the overall cohort. Patients in the Low-LNR group demonstrated a significantly improved 3-year overall survival (OS) (81.7% vs 55.3%; P < 0.001) and disease-free survival (DFS) (79.9% vs 37.4%; P < 0.001). These findings were consistent among those with non-PCR (3-year DFS was 73.7% vs 37.4%; P < 0.001, and the 3-year OS was 78.9% vs 55.3%; P < 0.001, respectively). High LNR was associated with a 4.013-fold increased risk of relapse and a 7.026-fold elevated risk of death. Compared to the post-neoadjuvant therapy pathologic lymph nodes staging (ypN), LNR exhibited similar prognostic capabilities for DFS and OS. To the best of our knowledge, this study is the first to investigate the prognostic value of LNR in ESCC after NICT, suggesting that LNR may serve as a viable alternative to the ypN stage for prognostication in ESCC patients treated with NICT.

Background: Between 30% and 92 percent of people are affected. After the suction drain is removed, it is common for the seroma to reappear, necessitating repeated skin punctures. This results in a higher risk of infection, as well as a delay in adjuvant therapy of several weeks. Objectives: Assessment of the Total volume of the Seroma aspirated and Early Drain removal. Method: The study was conducted on a total of 62 patients undergoing Modified Radical Mastectomy at KARNATAKA INSTITUTE OF MEDICAL SCIENCES, HUBLI from December 2019 to January 2022. In the study period, 62 patients fulfilled the inclusion criteria and were randomized, 31 in the methylprednisolone intervention group and 31 in the control group. Results: The age of the subjects varied from 25 years to 75 years. The average age cases of carcinoma breast were >45 years. Out of 62 patients, 7 patients (22.6%) in the test group had seroma, and 11 patients (35.5%) in the control group had seroma which was statistically insignificant. There is a significant difference in the drain removal days between the test and control groups. The post-operative drain removal within 5 days in the test group is 77.4% compared to the control group 16.1%. Conclusion: Various factors implicated to be predisposing factors for seroma formation such as the age of the patient, BMI of the patient, stage of the tumour, the role of neoadjuvant therapy, number of lymph nodes dissected, lymph node ratio, stage of the tumour, total drain output, drain removal day and molecular subtype were analyzed and age of the patient >45yrs, BMI>25, were found have a statistically significant association with seroma formation. The total volume of seroma aspirated was lower in the test group. Test group also favours the early drain removal and reduced drain output. [ABSTRACT FROM AUTHOR]

Background: Lymph node ratio has garnered increasing attention as a prognostic marker for rectal cancer; however, few studies have investigated the relationship between lymph node ratio and rectal cancer recurrence. Additionally, Carbon Nanoparticle tracking is a safe and effective strategy for locating tumors and tracking lymph nodes. However, no studies have reported the relationship between Carbon Nanoparticles and rectal cancer recurrence. Methods: Patients with stage III rectal cancer who underwent radical resection between January 2016 and 2020 were analyzed. The primary outcome was tumor recurrence. 269 patients with stage III rectal cancer were included in this study. The effects of lymph node ratio, Carbon Nanoparticles, and other clinicopathological factors on rectal cancer recurrence were assessed using univariate, multivariate analyses and the t-test. Results: Univariate analysis determined tumor recurrence using cytokeratin 19 fragment, CA-199, CEA, N-stage, positive lymph nodes, total lymph nodes, and lymph node ratio(positive/total); with the lymph node ratio being the most relevant. Receiver operating characteristic (ROC) analysis determined lymph node ratio =0.38 as the optimal cutoff value. The analysis of lymph node ratio =0.38 and <0.38 showed statistical differences in three indicators: tumor recurrence, CEA, and use of Carbon Nanoparticles. Conclusion: Lymph node ratio is a strong predictor of stage III rectal cancer recurrence and may be considered for inclusion in future tumor-node-metastasis staging and stage III rectal cancer stratification. In addition, we found that Carbon Nanoparticles use significantly increased total lymph nodes and decreased lymph node ratio. [ABSTRACT FROM AUTHOR]

Introduction: Although papillary thyroid carcinoma (PTC) is thought to be the least aggressive thyroid cancer, it has a significant recurrence rate. Therefore, we aimed to develop a nomogram to estimate the probability of biochemical recurrence (BIR) and structural recurrence (STR) in patients with stage cN1 PTC. Methods: We studied the relationship between the characteristics of patients with stage N1a PTC and the risk of recurrence by analysing the data of 617 inpatients (training cohort) and 102 outpatients (validation cohort) in our hospital. We used the least absolute shrinkage and selection operator regression model to identify prognostic indicators to construct nomograms to predict the risk of BIR and STR. Results: There were 94 (15.24%) BIR cases in the training cohort and 36 (35.29%) in the validation cohort. There were 31 (5.02%) STR cases in the training cohort and 23 (22.55%) cases in the validation cohort. The variables included in the BIR nomogram were sex, age at diagnosis, tumour size, extrathyroidal infiltration, and lymph node ratio (LNR). While the variables included in the STR nomogram were tumour size, extrathyroidal infiltration, BRAF state, metastatic lymph nodes, and LNR. Both the prediction models demonstrated good discrimination ability. The results showed the calibration curve of the nomogram was near the optimum diagonal line, and the decision curve analysis showed a noticeably better benefit. Conclusion: The LNR may be a valid prognostic indicator for patients with stage cN1 PTC. The nomograms could help clinicians identify high-risk patients and choose the best postsurgical therapy and monitoring. [ABSTRACT FROM AUTHOR]

Background: This study evaluated the clinical value of a new American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging prediction model based on lymph node ratio (LNR) in rectosigmoid cancer (RSC). Methods: The analysis included 1444 patients with nonmetastatic RSC diagnosed pathologically between 2010 and 2016 who were collected from the National Cancer Institute Surveillance, Epidemiology, and Results database. The AJCC N-stage was redefined according to the LNR cutoff point, and the ability of the new staging system to predict prognosis was compared with that of the AJCC TNM staging system. Data from 739 patients from our hospital were used for external validation. Results: According to the number of examined lymph nodes and LNR, the N stage was divided into five groups (LNR0-5). The 5-year OS of patients divided according to the new T lymph node ratio M (TLNRM) staging into stage I (T1LNR1, T1LNR2), IIA (T1LNR3, T2LNR1, T2LNR2, T2LNR3, T1LNR4, T3LNR1), IIB (T2LNR4), IIC (T3LNR2, T4a LNR1, T1LNR5), IIIA (T3LNR3, T2LNR5, T4b LNR1, T4a LNR2, T3LNR4), IIIB (T3LNR5, T4a LNR3, T4a LNR4, T4b LNR2), and IIIC (T4b LNR3, T4a LNR5, T4b LNR4, T4b LNR5) was significantly different (P<0.05). Decision curve analysis showed that the net income of the new TLNRM staging system for different decision thresholds was higher than the prediction line of the traditional eighth TNM staging system. The smaller Akaike information criterion and Bayesian information suggested that the new staging system had a higher sensitivity for predicting prognosis than the traditional staging system. TLNRM II and III patients benefited from adjuvant chemotherapy, while adjuvant chemotherapy did not improve the prognosis of TNM II patients. These findings were confirmed by the external validation data. Conclusion: The new TLNRM staging system was superior to the eighth edition AJCC staging system for staging and predicting the prognosis of patients with RSC and may become an effective tool in clinical practice. [ABSTRACT FROM AUTHOR]

Introduction: There is no agreement about the extent and the quality benchmarks of colon cancer resection. Segmental resection is being increasingly used in the era of minimally invasive surgery. Materials and Methods: The authors here assess retrospectively a cohort of 342 patients aiming at defining the impact of segmental resection on recurrence and survival and further delineating the complex relation of specimen length and nodal ratio in this dilemma. Results: Although the specimen length differs significantly between anatomical and segmental colectomies (median 25 vs. 17.5cm), the final outcomes [recurrence rate, overall survival (OAS) and disease-free survival (DFS)] were comparable. In addition, the specimen length correlates with the retrieved nodal count, without affecting the outcomes. Finally, nodal ratio provides a strong predictor of worse outcome, especially if beyond 11% (recurrence rate 47.4% vs. 23.3% and mean DFS 42.7 vs. 106.3 months). Conclusions: Segmental resection of colon cancer is a safe option. The specimen length correlates with nodal yield but does not affect the survival. LNR beyond 11% is a marker of worse prognosis. [ABSTRACT FROM AUTHOR]

Purpose: N3 gastric cancer is characterized by a fairly high lymph node metastasis burden and poor outcome despite optimal therapy. Given the limitations of TNM classification, a comprehensive evaluation tool is necessary to predict the prognosis of patients with N3 gastric cancer who underwent curative surgery. This study aims to explore the outcomes and clinicopathologic prognostic factors affecting the overall survival (OS) of patients with N3 gastric cancer after surgery.Methods: Data on patients with N3 gastric cancer who underwent (sub)total gastrectomy and regional lymph node dissection between November 2005 and September 2018 (n =  169) were analyzed by Cox regression to determine the independent prognostic factors for OS.Results: The multivariable analysis established that gender, patient performance status, metastatic lymph node ratio (MLNR), tumor grade, and adjuvant chemotherapy are significantly associated with OS. The five-year OS of the study population was 15%. Adjuvant chemoradiotherapy was applied to 72% of the patients, which resulted in an improvement in recurrence-free survival but not OS. Recurrence occurred in 103 (75%) patients, in which the most frequent recurrence site was distant metastasis.Conclusion: Male gender, poor performance status, grade 3 tumor, MLNR >  0.37, and not receiving adjuvant chemotherapy are predictors of poor prognosis in N3 gastric cancer after curative resection. Considering the high recurrence rates of this group, prospective studies are needed to optimize treatment strategies. [ABSTRACT FROM AUTHOR]

Objective:To analyze the demographic characteristics and the pathological results of neck dissection in primary parotid gland (PG) cancer patients, and to investigate the effects of histopathological parameters (perineural invasion, lymphovascular invasion, and extracapsular spread), neck metastasis, stage and lymph node ratio (LNR) on survival.Methods:Patients who underwent parotidectomy for malignant PG tumors between 2000 and 2019 years were retrospectively reviewed from the medical records. Thirty patients who were treated with parotidectomy and neck dissection were included in the study. Lymph node ratio was calculated as the ratio of the number of metastatic lymph nodes (LN) to the total number of excised LNs. Tumor stage, regional LN metastasis, LNR, perineural invasion, lymphovascular invasion, and extracapsular spread were reviewed for the effects on survival with the Kaplan–Meier analysis.Results:The study included 17 (57%) male and 13 (43%) female patients. Their mean age was 67.93±16.90 years (range, 50–85 years). The average number of the excised LN was 26.03±11.79 (range, 3–50). Mean LNR was 0.16±0.26. The Kaplan–Meier analysis showed that neck metastasis (p=0.001) and LNR (p

Abstract Objective To study the survival prediction value of lymph node ratio (LNR) and preoperative thyroglobulin (Tg) in the prognosis of thyroid papillary carcinoma (PTC). Methods A total of 495 patients with PTC and lymph node metastasis treated at the Cancer Hospital of Xinjiang Medical University were selected for a retrospective study. The disease‐free survival (DFS) of patients was the follow‐up endpoint. DFS was calculated for all patients. The Cox proportional risk regression model and nomogram were used to predict the survival prognosis of PTC with lymph node metastasis by index. LNR and preoperative Tg level cutoff values were obtained using ROC curves. To express DFS, Kaplan–Meier survival curves were created. Using 3‐ and 5‐year calibration curves and AUC values, the prognostic models' precision and discrimination were assessed. Clinical decision curve analysis was used to forecast clinical benefitability. Finally, the results were validated using internal cross‐validation. Results The cutoff values of LNR and preoperative Tg level were 0.295 and 50.24, respectively, and they were divided into two groups according to the cutoff values. Multifactorial Cox regression models showed that NLNM, LNR, and preoperative Tg level (all p

Introduction: Lymph node metastasis in patients with papillary thyroid carcinoma (PTC) is associated with postoperative recurrence. Recently, most studies have focused on the evaluation of recurrence in patients with late-stage PTC, with limited data on those with early-stage PTC. We aimed to assess the relationship between lymph node ratio (LNR) and recurrence in low-to-intermediate- risk patients and validate its diagnostic efficiency in both structural (STR) and biochemical recurrence (BIR). Methods: Clinical data of patients with PTC diagnosed at the Affiliated Hospital of Jining Medical University were retrospectively collected. The optimal LNR cut-off values for disease-free survival (DFS) were determined using X-tile software. Predictors were validated using univariate and multivariate Cox regression analyses. Results: LNR had a higher diagnostic effectiveness than metastatic lymph nodes in patients with low-to-intermediate recurrence risk N1a PTC. The optimal LNR cutoff values for STR and BIR were 0.75 and 0.80, respectively. Multivariate Cox regression analysis showed that LNR≥0.75 and LNR≥0.80 were independent factors for STR and BIR, respectively. The 5-year DFS was 90.5% in the high LNR (≥0.75) and 96.8% in low LNR (<0.75) groups for STR. Regarding BIR, the 5-year DFS was 75.7% in the high LNR (≥0.80) and 86.9% in low LNR (<0.80) groups. The high and low LNR survival curves exhibited significant differences on the log-rank test. Conclusion: LNR was associated with recurrence in patients with low-to-intermediate recurrence risk N1a PTC. We recommend those with LNR≥0.75 require a comprehensive evaluation of lateral neck lymphadenopathy and consideration for lateral neck dissection and RAI treatment. [ABSTRACT FROM AUTHOR]

The matter of postoperative radiotherapy (PORT) in esophageal cancer (ESCA) was far from conclusive. Some evidence indicated that lymph node status could affect treatment. We evaluated lymph node ratio (LNR) as an indicator that could be applied to predict PORT benefit. Retrospective cohort study collected the data of N1, N2, N3 stage ESCA patients from the Surveillance, Epidemiology, and End Results database (SEER) to analyze the association between LNR and prognosis from 2004 to 2015. Patients were categorized into two subsets based on the LNR cut-off value of 0.23 using receiver operating characteristic curve (ROC). Kaplan–Meier analysis was utilized to estimate the proportion of overall survival (OS) and esophagus cancer-specific survival (CSS) in two LNR groups. Cox regression analysis and competitive risk model was adopted to investigate the impacts of LNR on prognosis. Of 2,165 ESCA patients identified, 1,165 (53.8%) had LNR>0.23. The LNR was an independent prognostic factor and associated with better OS and CSS of LNR≤0.23 (P < 0.001). In competitive risk model, a worse CSS was analyzed of LNR>0.23 (HR = 1.71; 95% CI 1.53–1.91). Subgroup analyses indicated that PORT was associated with favorable OS and CSS. Furthermore, when stratified by Node stage, PORT was associated with a survival benefit only in N1 stage with higher LNR (LNR>0.23) after adjusting for other covariates. LNR exceeding 0.23 was negatively associated with prognosis in ESCA. The survival benefit from PORT in ESCA seems to be limited to LNR of 23% or more only in N1 stage. This study highlights the biomarker meaning of LNR on identifying PORT beneficiary in N1 stage. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study is to assess the impact of lymph node ratio (LNR) and number of positive lymph nodes (NPLN) on mortality and recurrence rates in patients with laryngeal squamous cell carcinoma. Materials and methods: We conducted a retrospective multicenter international study involving 24 Otorhinolaryngology‐Head and Neck Surgery divisions. Disease‐specific survival (DSS) and disease‐free survival (DFS) were evaluated as the main outcomes. The curves for DSS and DFS according to NPLN and LNR were analyzed to identify significant variations and establish specific cut‐off values. Results: 2507 patients met the inclusion criteria. DSS and DFS were significantly different in the groups of patients stratified according to LNR and NPLN. The 5‐year DSS and DFS based on LNR and NPLN demonstrated an improved ability to stratify patients when compared to pN staging. Conclusion: Our data demonstrate the potential prognostic value of NPLN and LNR in laryngeal squamous cell carcinoma. [ABSTRACT FROM AUTHOR]

Background: The prognostic significance of lymph node ratio (LNR) in N1b papillary thyroid cancer is unclear. Therefore, the impact of LNR on disease-specific mortality (DSM) and overall survival (OS) in patients with N1b papillary thyroid cancer (PTC) needs to be defined. Methods: We used the Surveillance, Epidemiology, and End Results (SEER) database of patients who had undergone thyroidectomy and lymph node dissection. Factors associated with DSM and OS were analyzed and identified using univariate and multivariate Cox proportional risk models. X-tile software was used to find the best cutoff value of LNR. Kaplan–Meier estimates for DSM were plotted for LNR and were compared with the log-rank test. The ROC curve evaluated the validity of the model. Results: A total of 3223 patients with N1b PTC were identified in the SEER database between 1975 and 2019. The best cutoff value for LNR was 0.6. The multivariate Cox proportional risk model showed that age, race, T3/T4 classification, distant metastasis, extent of surgery, number of metastatic lymph nodes, and LNR > 0.6 were independent risk factors for DSM (all p < 0.05). Age, sex, T4 classification, distant metastasis, extent of surgery, and LNR > 0.6 were independent risk factors for OS (all p < 0.05). The Kaplan–Meier method plotted a cumulative risk curve and showed that patients with LNR > 0.6 had a significantly higher risk of DSM than patients with LNR ≤ 0.6 (p = 0.002). Conclusion: LNR was a powerful predictor of DSM and OS in N1b PTC patients. LNR could be a useful tool for the stratification of PTC patients with lateral neck metastases. [ABSTRACT FROM AUTHOR]

Background: Most of previous studies on predictive models for patients with small cell lung cancer (SCLC) were single institutional studies or showed relatively low Harrell concordance index (C-index) values. To build an optimal nomogram, we collected clinicopathological characteristics of SCLC patients from Surveillance, Epidemiology, and End Results (SEER) database. Methods: 24,055 samples with SCLC from 2010 to 2016 in the SEER database were analyzed. The samples were grouped into derivation cohort (n=20,075) and external validation cohort (n=3,980) based on America's different geographic regions. Cox regression analyses were used to construct nomograms predicting cancer-specific survival (CSS) and overall survival (OS) using derivation cohort. The nomograms were internally validated by bootstrapping technique and externally validated by calibration plots. C-index was computed to compare the accuracy and discrimination power of our nomograms with the 8th of version AJCC TNM staging system and nomograms built in previous studies. Decision curve analysis (DCA) was applied to explore whether the nomograms had better clinical efficiency than the 8th version of AJCC TNM staging system. Results: Age, sex, race, marital status, primary site, differentiation, T classification, N classification, M classification, surgical type, lymph node ratio, radiotherapy, and chemotherapy were chosen as predictors of CSS and OS for SCLC by stepwise multivariable regression and were put into the nomograms. Internal and external validations confirmed the nomograms were accurate in prediction. Cindexes of the nomograms were relatively satisfactory in derivation cohort (CSS: 0.761, OS: 0.761) and external validation cohort (CSS: 0.764, OS: 0.764). The accuracy of the nomograms was superior to that of nomograms built in previous studies. DCA showed the nomograms conferred better clinical efficiency than 8th version of TNM staging system. Conclusions: We developed practical nomograms for CSS (https://guowei2020. shinyapps.io/DynNom-CSS-SCLC/) and OS (https://drboidedwater.shinyapps.io/DynNom-OS-SCLC/) prediction of SCLC patients which may facilitate clinicians in individualized therapeutics. [ABSTRACT FROM AUTHOR]

Background: Tumor-node-metastasis (TNM) staging is the central gastric cancer (GC) staging system, but it has some disadvantages. However, the lymph node ratio (LNR) can be used regardless of the type of lymphadenectomy and is considered an important prognostic factor. This study aimed to evaluate the relationship between LNR and survival in patients who underwent curative GC surgery. Methods: All patients who underwent radical gastric surgery between January 2014 and June 2022 were retrospectively evaluated. Clinicopathological features of tumors, TNM stage, and survival rates were analyzed. LNR was defined as the ratio between metastatic lymph nodes and total lymph nodes removed. The LNR groups were classified as follows: LNR0 = 0, 0.01 < LNR1 ≤ 0.1, 0.1 < LNR2 ≤ 0.25 and LNR3 > 0.25. Tumor characteristics and overall survival (OS) of the patients were compared between LNR groups. Results: After exclusion, 333 patients were analyzed. The mean age was 62 ± 14 years. According to the LNR classification, no difference was found between groups regarding age and sex. However, TNM stage III disease was significantly more common in LNR3 patients. Most patients (43.2%, n = 144) were in the LNR3 group. In terms of tumor characteristics (lymphatic, vascular, and perineural invasion), the LNR3 group had significantly poorer prognostic factors. The Cox regression model defined LNR3, TNM stage II—III disease, and advanced age as independent risk factors for survival. Patients with LNR3 demonstrated the lowest 5-year OS rate (35.7%) (estimated mean survival was 30 ± 1.9 months) compared to LNR 0–1–2. Conclusion: Our study showed that a high LNR was significantly associated with poor OS in patients who underwent curative gastrectomy. LNR can be used as an independent prognostic predictor in GC patients. [ABSTRACT FROM AUTHOR]

Background: The study investigates the prognostic significance of lymph node ratio (LNR) on patients with head and neck squamous cell carcinoma (HNSCC) with coexistence of multiple adverse pathological features. Methods: In total, 100 patients with coexistence of perineural invasion, lymphovascular invasion, and extranodal extension of first primary HNSCC treated with radical surgery followed by adjuvant chemoradiotherapy were enrolled. Results: The optimal LNR cut‐off value for predicting overall survival (OS) and cancer specific survival (CSS) was 7%. In Cox model, we observed that LNR ≥7% was a statistically significant unfavorable predictor of OS (HR: 2.689; 95% CI: 1.228–5.889; p = 0.013) and CSS (HR: 3.162; 95% CI: 1.234–8.102; p = 0.016). Conclusion: For HNSCC patients with coexistence of multiple adverse pathological features, LNR is an independent survival predictor. Novel intensified treatments are needed for the subgroup of patients with a high LNR. [ABSTRACT FROM AUTHOR]

Background: To investigate the value of lymph node ratio (LNR) for postoperative major salivary duct carcinoma (MSDC) and to establish a model for prognosis assessment and treatment optimization. Methods: Data of MSDC were retrieved in public database, and prognostic factors were identified by univariate and multivariate analyses. A nomogram and risk stratification system were constructed. Results: Four hundred and eleven eligible patients were included (training cohort vs. validation cohort: 287: 124). LNR ≥0.09 was associated with worse overall survival (OS). Age at diagnosis, sex, T stage, and LNR were identified as prognostic factors and integrated into nomogram. Low‐risk patients were found to have better OS than high‐risk patients. Furthermore, postoperative radiotherapy (PORT) significantly improved OS in the high‐risk subgroup, but chemotherapy did not confer a long‐term survival benefit. Conclusions: A nomogram model integrating LNR could better assess postoperative prognosis and risk stratification in MSDC, and identify patients who might benefit from PORT to avoid overtreatment. [ABSTRACT FROM AUTHOR]

Abstract Background The shortest distance between the superior mesenteric artery (SMA) or superior mesenteric vein (SMV) and the tumor margin was combined with preoperative serum carbohydrate antigen (CA) 19‐9 and lymph node ratio (LNR) to evaluate joint effects on long‐term survival and liver metastasis in patients with pancreatic head cancer after radical surgery. Methods This retrospective study included 149 patients who underwent pancreaticoduodenectomy for pancreatic head cancer at Harbin Medical University Tumor Hospital from May 2011 to March 2021. The preoperative serum CA 19‐9 level and LNR were combined with the SMA or SMV distance. The joint association between long‐term survival and postoperative liver metastasis was evaluated. Results Based on the receiver operating characteristic curve of postoperative liver metastasis or long‐term survival, the optimal cut‐off values of SMV distance were 3.1 and 0.7 mm, respectively, whereas the optimal cut‐off value of SMA distance was 10.25 mm. The univariate model identified the liver metastasis score (p

Abstract Background After radical resection of a nonmetastatic Merkel cell carcinoma (M0 MCC), postoperative radiation therapy (RT) is recommended as it improves survival. However, the role of RT in specific subgroups of M0 MCC is unclear. We sought to identify whether there is a differential survival benefit from RT in specific M0 MCC patient subgroups. Methods M0 MCC patients from the Surveillance, Epidemiology, and End Results (SEER) database registry were collected. The best prognostic age, tumor size, and lymph node ratio (LNR, ratio between positive lymph nodes and resected lymph nodes) cutoffs were calculated. The primary endpoint was overall survival (OS). Results A total of 5644 M0 MCC patients (median age 77 years, 62% male) were included: 4022 (71%) node‐negative (N0) and 1551 (28%) node‐positive (N+). Overall, 2682 patients (48%) received RT. Age > 76.5 years, tumor size >13.5 mm, and LNR >0.215 were associated with worse OS. RT was associated with longer OS in the M0 MCC, N0, and N+ group and independently associated with a 25%, 27%, and 26% reduction in the risk for death, respectively. RT benefit on survival was increased in tumor size >13.5 mm in the N0 group and LNR >0.215 in the N+ group. No OS benefit from RT was observed in T4 tumors (N0 and N+ groups). Conclusions RT was associated with improved survival in M0 MCC, irrespective of the nodal status. LNR >0.215 is a useful prognostic factor for clinical decision‐making and for stratification and interpretation of clinical trials.

Abstract Background Pancreatic cancer is one of the most lethal disease with highly fatal and aggressive properties. Lymph node ratio (LNR), the ratio of the number of metastatic lymph nodes to the total number of examined lymph nodes, is an important index to assess lymphatic metastasis and predict prognosis, but the molecular mechanism underlying high LNR was unclear. Methods Gene expression and clinical information data of pancreatic cancer were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Patients in TCGA were averagely divided into low and high LNR groups. Then, Weighted Gene Co-expression Network Analysis (WGCNA) was utilized to build co-expression network to explore LNR-related modules and hub genes. GO and KEGG analysis was performed to find key pathways related to lymph node metastasis. Next, GSE101448 and the overall survival data in TCGA was employed to further select significant genes from hub genes. Considering the key role of CHRNB2 in LNR and survival, gene set enrichment analysis (GSEA) was applied to find pathways related to CHRNB2 expression in pancreatic cancer. The contribution of CHRNB2 to migrative and invasive ability of pancreatic cancer cells was confirmed by Transwell assays. We finally explored the role of CHRNB2 in EMT and β-catenin pathway via Western Blot. Results High LNR was significantly related to high T stages and poor prognosis. In WGCNA, 14 hub genes (COL5A1, FN1, THBS2, etc.) were positively related to high LNR, 104 hub genes (FFAR1, SCG5, TMEM63C, etc.) were negatively related to high LNR. After taking the intersection with GSE101448, 13 genes (CDK5R2, SYT7, CACNA2D2, etc.) which might prevent lymph node metastasis were further selected. Among them, CHRNB2 showed the strongest relationship with long survival. Moreover, CHRNB2 also negatively related to the T stages and LNR. Next, knockdown of CHRNB2 expression could acetylcholine (ACh)-independently increase the migration and invasion of pancreatic cancer cells, while CHRNB2 overexpression ACh-independently decrease the migration and invasion of pancreatic cancer cells. For exploring the underlying mechanism, CHRNB2 downregulated β-catenin pathway might through controlling its upstream regulators such as SOX6, SRY, SOX17, and TCF7L2. Conclusions CHRNB2 negatively relates to lymph node metastasis in pancreatic cancer patients. CHRNB2 could inhibit β-catenin pathway, EMT, migration and invasion of pancreatic cancer cells via ACh-independent mechanism.

Purpose: This work focused on determining the highly efficient nodal classification system from American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) classification (eighth edition), positive lymph node, log odds of positive lymph nodes (LODDS), lymph node ratio, examined lymph node, and establishing the new nomogram for predicting cancer-specific survival in colon neuroendocrine tumors (CNETs). Methods: From the Surveillance, Epidemiology, and End Results database, 943 CNET cases undergoing radical operation were enrolled, and randomized as training (n = 663) or validation set (n = 280). For the above 5 lymph node classification systems, their prediction performances were compared with C-index, Akaike information criterion (AIC), and area under the receiver operating characteristic curve. Univariate together with multivariate regression was carried out for identifying independent risk factors. Afterward, this work established 1 nomogram and confirmed its accuracy based on C-index, calibration curves, together with the area under the curve value. Besides, it was compared with the AJCC TNM classification system with regard to model prediction performance. Results: LODSS achieved the greatest area under the curve and C-index, whereas the smallest AIC. Upon multivariate regression, age, histologic grade, T stage, M stage, and LODDS independently predicted the risk of CNETs. For the validation set, the C-index of the nomogram was 0.794, and the area under the curves at 1, 3, and 5 years was 0.826, 0.857, and 0.870, separately. Additionally, as revealed by the C-index, AIC, decision curve analysis, as well as Kaplan–Meier analysis, our nomogram had superior performance to the AJCC TNM classification system. Conclusions: For postoperative patients with CNETs, the LODDS might achieve the best prediction performance. Moreover, the LODDS-based nomograms might show superior survival prediction performance to the AJCC TNM classification system (eighth edition). [ABSTRACT FROM AUTHOR]