Prognostic Value of Log Odds of Positive Lymph Nodes after Radical Surgery Followed by Adjuvant Treatment in High-Risk Cervical Cancer

Perineural invasion in cervical cancer

Perineural invasion (PNI), the neoplastic infiltration of peripheral nerves, is recognized as the fourth mode of tumor metastasis and invasion. PNI is defined as a critical pathological feature observed across various cancers and is associated with poor prognosis. Recent studies have demonstrated that PNI also occurs in cervical cancer. Nerve-sparing radical hysterectomy (NSRH) has been promoted as the preferred approach for radical surgical resection of cervical cancer, as it reduces postoperative complications such as bladder, rectal, and sexual dysfunction. However, the presence of PNI has become a contraindication for NSRH. Despite the increasing volume of studies on PNI, the underlying mechanisms of its pathogenesis remain largely unclear. In this review, we discuss the innervation, characteristics, preoperative prediction and diagnosis of PNI in cervical cancer, along with its underlying mechanism, paving the way for advancements in treatment strategies and improving the prognosis for cervical cancer patients.

What is the impact of perineural invasion on the prognosis of cervical cancer: a systematic review and meta-analysis

BACKGROUND

Perineural Invasion (PNI) is a marker of a highly invasive tumor with poor prognosis, but the real influence on the prognosis of cervical cancer is still debated. We aimed to systematically investigate the prognostic impact of PNI in cervical cancer.

METHODS

We searched PubMed, Embase, Cochrane databases, and ClinicalTrials.gov from inception to 20 April 2024. Cohort, case-control, and randomized controlled studies reporting the PNI status and survival outcomes of women with cervical cancer were included. Two reviewers extracted data independently and appraised study quality following the PRISMA guideline. The quality of the studies was assessed with Newcastle-Ottawa Scale. Random effect model was used if the heterogeneity was significant (P ≤ 0.1, I2 ≥ 50%).

RESULTS

We included seven retrospective cohort studies (1561 women) in the analysis. PNI was remarkably associated with a worse survival (risk ratio [95% CI]: 2.79 [1.67- 4.66], I2 = 78% for 5-year overall survival (OS); 2.16 [1.30-3.59], I2 = 84% for 5-year disease-free survival (DFS)). After multivariate cox regression adjustment, the hazard ratio [95% CI] of PNI was 3.25 [1.09, 9.74] (I2 = 85%) for OS, and 2.50 [0.66, 9.46] (I2 = 89%) for DFS. PNI showed positive correlation with higher stage, larger tumor size, lymph node metastasis, deep stromal invasion, lymphovascular invasion, resection margin involvement, and parametrial invasion (P < 0.05). Besides, PNI was associated with higher possibility of adjuvant therapy (risk difference [95% CI]: 0.28 [0.04-0.52], I2 = 92%), especially for chemoradiation (0.25 [-0.02-0.53], I2 = 76%). Subgroup analysis showed patients with PNI had poorer prognosis than those without PNI in patients with LNM or large tumor size (P < 0.05).

CONCLUSIONS

PNI demonstrated a significant association with reduced overall survival in cervical cancer patients and emerged as a potential independent prognostic indicator, which provided a foundation for future investigations to evaluate the clinical utility of PNI status in guiding therapeutic strategies.

TRAIL REGISTRATION

The protocol for this study was prospectively registered with the International Prospective Register of Systematic Reviews (PROSPERO) under identifying number CRD42022315970.

The Combined Prognostic Value of 18F-FDG PET/CT Metabolic Parameters of Immune Organs and Hematological Immune-Related Markers in Patients With Locally Advanced Cervical Cancer

BACKGROUND

This study aimed to explore the prognostic value of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) metabolic parameters of immune organs and hematological immune-related markers for patients with locally advanced cervical cancer (LACC) undergoing concurrent chemoradiotherapy (CCRT), and to establish prognostic nomograms based on these potential biomarkers.

METHODS

A total of 180 patients with LACC undergoing CCRT were retrospectively reviewed and randomly divided into training and validation groups at a 7:3 ratio. Cox regression analysis was performed to identify independent prognostic factors for progression-free survival (PFS) and overall survival (OS) from hematological immune-related markers and 18F-FDG PET/CT metabolic parameters of the primary tumor, spleen, and bone marrow (BM). Nomograms were developed and evaluated using receiver operating characteristic curves, concordance index (C-index), calibration curves, and decision curve analysis (DCA). Spearman correlation analysis was used to assess the relationships among metabolic parameters.

RESULTS

Multivariable analysis identified International Federation of Gynecology and Obstetrics (FIGO) stage, neutrophil-to-lymphocyte ratio (NLR), and spleen maximum standardized uptake value (SUVspleen) as independent prognostic factors for PFS. For OS, the independent prognostic factors were FIGO stage, NLR, metabolic tumor volume, and SUVspleen. The nomograms demonstrated better prognostic performance for PFS (area under curve [AUC]: 0.875 and 0.862; C-index: 0.809 and 0.775) and OS (AUC: 0.858 and 0.814; C-index: 0.828 and 0.792) in the training and validation groups. Calibration curves and DCA indicated that the nomograms have good predictive accuracy and clinical utility. Spearman correlation analysis revealed significant positive correlations among total lesion glycolysis, SUVspleen, SUVBM, and platelet-to-lymphocyte ratio.

CONCLUSION

The nomograms based on metabolic parameters of immune organs and hematological immune-related markers demonstrated high predictive value for patients with LACC undergoing CCRT. The observed correlations between the metabolic parameters of the primary tumor and immune organs suggest a widespread disturbance of systemic immunity caused by the tumor.

Log odds of positive lymph nodes compared to positive lymph node ratio and number of positive lymph nodes in prognostic modeling for patients with NSCLC undergoing lobectomy or total pneumonectomy: a population-based study using Cox regression and XGBoost with SHAP analysis

Background

Methods such as the number of positive lymph nodes (nPLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) are used to predict prognosis in patients with non-small cell lung cancer (NSCLC). We hypothesized that LODDS could be a superior independent predictor of prognosis and aimed to compare its effectiveness with nPLN and LNR in predicting survival outcomes in stage I-IIIA NSCLC patients.

Methods

We utilized data from the Surveillance, Epidemiology, and End Results (SEER) 17 registry (2010-2019) to study NSCLC patients, focusing on those who underwent surgery with confirmed lymph node involvement (N1 or N2 disease). We aimed to compare overall survival (OS) and cancer-specific survival (CSS) based on nPLN, LNR, and LODDS. Kaplan-Meier and Cox regression analyses were employed to evaluate survival, with thresholds determined using X-tile software. An XGBoost model was constructed to predict overall survival in patients using three features: LODDS, LNR, and PLN. SHapley Additive exPlanations (SHAP) analysis was applied to assess feature importance and provide interpretable insights into the model's predictions.

Results

The study analyzed 3,132 eligible NSCLC patients from the SEER database, predominantly male (53.07%) with adenocarcinoma (43.65%) or squamous cell carcinoma (29.76%). Survival outcomes were assessed using nPLN, LNR, and LODDS. LODDS showed superior predictive value for both OS and CSS compared to nPLN and LNR, as indicated by a larger Log Likelihood Ratio (LLR) and smaller Akaike Information Criterion (AIC). Higher scores on npLN, LNR, and LODDS were strongly related with a poorer prognosis, according to Kaplan-Meier analyses (P < 0.001). The SHAP (SHapley Additive exPlanations) analysis of the XGBoost model demonstrated that the LODDS exhibited the highest SHAP values (0.25) for predicting overall survival in patients, consistently outperforming the LNR and the number of nPLN across both training and validation datasets.

Conclusions

Compared to the nPLN and LNR staging systems, LODDS demonstrates superior prognostic power for patients with stage I-IIIA NSCLC undergoing lobectomy or pneumonectomy. By integrating both positive and negative lymph node information, LODDS offers a refined risk stratification that is particularly valuable in cases with high lymph node heterogeneity.

Perineural invasion in cervical cancer: A multicenter retrospective study

OBJECTIVE

The study aimed to evaluate the accuracy of perineural invasion (PNI) diagnosis in cervical cancer, and to analyze the impact of PNI on the prognosis and postoperative adjuvant treatment decisions for cervical cancer.

METHODS

A retrospective pathological review of PNI in cervical cancer was conducted from 2004 to 2016 in 15 hospitals.

RESULTS

This study included a total of 1208 cases, comprising 273 cases with PNI and 935 cases without. The false positive rate and false negative rate of PNI diagnosis were 5.35% (50/935) and 33.33% (91/273), respectively. Adenocarcinoma, deep stromal invasion, lymphovascular space invasion (LVSI) (+), and margin involvement were independent risk factors for PNI. Both 5-year overall survival rate (OS) and 5-year disease-free survival rate (DFS) of PNI group were worse than non-PNI group. PNI was an independent risk factor for 5-year OS and 5-year DFS. In cases receiving standard postoperative adjuvant treatment, among those with two intermediate-risk factors, both 5-year OS and DFS were worse in the PNI group. Among cases with three intermediate-risk factors or at least one high-risk factor, there was no difference in 5-year OS between the two groups, but 5-year DFS was worse in the PNI group.

CONCLUSION

The diagnosis of PNI in cervical cancer was not accurate. Adenocarcinoma, deep stromal invasion, LVSI, and margin involvement were independent risk factors for PNI. PNI was an independent risk factor for 5-year OS and DFS. PNI has the potential to serve as a new high-risk factor, thus providing guidance for postoperative adjuvant therapy.

Recent Advances in Cervical Cancer Management: A Review on Novel Prognostic Factors in Primary and Recurrent Tumors

BACKGROUND

Several pathological parameters, including tumor size, depth of stromal invasion, lympho-vascular space invasion and lymph node status, have been proposed as prognostic predictors in cervical cancer. However, given the high mortality and recurrence rate of cervical cancer, novel parameters that are able to provide additional prognostic information are needed in order to allow a better prognostic stratification of cervical cancer patients.

METHODS

A search was conducted on PubMed to identify relevant literature data regarding prognostic factors in cervical cancer. The key words "cervical cancer", "prognostic factors", "pathology", and "outcome" were used.

RESULTS

The novel pathological grading system based on tumor budding and cell nest size appeared the most relevant prognostic factor in primary neoplasms. Moreover, other potentially useful prognostic factors were tumor size, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes. Prognostic factors related to advanced-stage cervical cancer, including lymph-nodes status, endometrial and cervical involvement as well as distant metastases, were also taken into consideration.

CONCLUSIONS

According to our findings, tumor budding and cell nest size grading system, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes appeared the most relevant factors included in the pathology report.

Development and Validation of Novel Nomograms to Predict the Overall Survival and Cancer-Specific Survival of Cervical Cancer Patients With Lymph Node Metastasis

Objective

The objective of this study was to establish and validate novel individualized nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) in cervical cancer patients with lymph node metastasis.

Methods

A total of 2,956 cervical cancer patients diagnosed with lymph node metastasis (American Joint Committee on Cancer, AJCC N stage=N1) between 2000 and 2018 were included in this study. Univariate and multivariate Cox regression models were applied to identify independent prognostic predictors, and the nomograms were established to predict the OS and CSS. The concordance index (C-index), calibration curves, and receiver operating characteristic (ROC) curves were applied to estimate the precision and discriminability of the nomograms. Decision-curve analysis (DCA) was used to assess the clinical utility of the nomograms.

Results

Tumor size, log odds of positive lymph nodes (LODDS), radiotherapy, surgery, T stage, histology, and grade resulted as significant independent predictors both for OS and CSS. The C-index value of the prognostic nomogram for predicting OS was 0.788 (95% CI, 0.762–0.814) and 0.777 (95% CI, 0.758–0.796) in the training and validation cohorts, respectively. Meanwhile, the C-index value of the prognostic nomogram for predicting CSS was 0.792 (95% CI, 0.767–0.817) and 0.781 (95% CI, 0.764–0.798) in the training and validation cohorts, respectively. The calibration curves for the nomograms revealed gratifying consistency between predictions and actual observations for both 3- and 5-year OS and CSS. The 3- and 5-year area under the curves (AUCs) for the nomogram of OS and CSS ranged from 0.781 to 0.828. Finally, the DCA curves emerged as robust positive net benefits across a wide scale of threshold probabilities.

Conclusion

We have successfully constructed nomograms that could predict 3- and 5-year OS and CSS of cervical cancer patients with lymph node metastasis and may assist clinicians in decision-making and personalized treatment planning.

Treatment Strategies and Prognostic Factors of 2018 FIGO Stage IIIC Cervical Cancer: A Review

Cervical cancer is the fourth most common malignant tumor globally in terms of morbidity and mortality. The presence of lymph node metastasis (LNM) is an independent prognostic factor for progression-free survival (PFS) and overall survival (OS) in cervical cancer patients. The International Federation of Gynecology and Obstetrics (FIGO) staging system was revised in 2018. An important revision designates patients with regional LNM as stage IIIC, pelvic LNM only as stage IIIC1, and para-aortic LNM as stage IIIC2. However, the current staging system is only based on the anatomical location of metastatic lymph nodes (LNs). It does not consider other LN status parameters, which may limit its prognostic significance to a certain extent and needs further exploration and confirmation in the future. The purpose of this review is to summarize the choice of treatment for stage IIIC cervical cancer and the effect of different LN status parameters on prognosis.

Effect of Number of Retrieved Lymph Nodes on Prognosis in FIGO Stage IA1-IIA2 Cervical Cancer Patients Treated With Primary Radical Surgery

Background:

The influence of the number of removed lymph nodes (RLNs) on patients with early-stage cervical cancer (ESCC) is still questionable. The objective of this study was to explore the prognostic value of RLNs on ESCC patients.

Methods:

A retrospective study was performed including all ESCC patients who underwent radical surgery from January 2016 to December 2018. Cox regression analysis was performed to verify the correlation between the number of RLNs and the prognosis (recurrence-free survival [RFS], disease-specific survival [DSS]) of ESCC. According to the guidelines, all the patients were divided into high-risk and non-high-risk groups. The optimal cut-off values of RLNs were determined by receiver operating characteristic curve analysis and Youden index and further the prognostic value of them was explored.

Results:

A total 1101 patients were enrolled. The number of RLNs was an independent prognostic influence factor of the prognosis of ESCC ( P < .001 for RFS, P < .001 for DSS). The optimal cut-off values of RLNs (40 in the high-risk group and 23 in the non-high-risk group) were significantly associated with the prognosis of ESCC, in the high-risk group ( P < .001 for RFS, P = .002 for DSS) and non-high-risk group ( P < .001 for RFS, P < .001 for DSS), respectively.

Conclusions:

More extensive lymph node dissection (RLNs ⩾ 40) could benefit the high-risk ESCC patients. However, in the non-high-risk group, moderate lymph node dissection (RLNs ≈23) could also benefit them and may reduce the incidence of related complications. Those findings may help to determine the scope of lymph node dissection in ESCC patients before operation.

Prognostic implications of ENE and LODDS in relation to lymph node-positive colorectal cancer location

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This is the first study on LODDS and ENE together. The current study showed that LODDS and ENE are liable prognostic parameters of CRC or CC.

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ENE is an independent influencing factor on the prognosis of both CRC and CC, and the prognostic impact of ENE was observed in both CRC and CC.

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The frequency of ENE increases from the proximal (right) to the distal (left) colon as well as the rectum.

Background

Extranodal extension (ENE) and log odds of positive lymph nodes (LODDS) are associated with the aggressiveness of both colon and rectal cancers. The current study evaluated the clinicopathological significance and the prognostic impact of ENE and LODDS in the colon and rectal patients independently.

Methods

The clinical and histological records of 389 colorectal cancer (CRC) patients who underwent curative surgery were reviewed.

Results

For the ENE system, 244 patients were in the ENE1 group and 145 in the ENE2 system. Compared with the ENE1 system, the patients included in the ENE2 system were prone to nerve invasion (P < 0.001) and vessel invasion (P < 0.001) with higher TNM (P = 0.009), higher T category (P = 0.003), higher N category (P < 0.001), advanced differentiation (P = 0.013), more number of positive lymph nodes (NPLN) (P < 0.001), more lymph node ratio (LNR) (P < 0.001), and a higher value of LODDS (P < 0.001). ENE was more frequent in patients with left and rectal than right cancer. For the LODDS system, 280 patients were in the LODDS1 group, and 109 in the LODDS2 group. Compared to the LODDS1 group, the patients included in the LODDS2 group were more prone to nerve invasion (P = 0.0351) and vessel invasion (P < 0.001) with a higher rate of N2 stage, less NDLN (P < 0.001), more NPLN (P < 0.001), more LNR (P < 0.001), and a higher value of ENE (P < 0.001). Based on the results in the univariable analysis, the N, NPLN, LNR, LODDS, and ENE were separately incorporated into five different Cox regression models combined with the same confounders. The multivariable Cox regression analysis demonstrated that all the five staging systems were independent prognostic factors for overall survival.

Conclusion

The current study confirmed that the LODDS stage is an independent influence on the prognosis of both CRC and CC patients. ENE is an independent influencing factor on the prognosis of both CRC and CC patients, and the prognostic impact of extracapsular lymph node was observed in both CRC and CC. The frequency of ENE increases from the proximal (right) to the distal (left) colon as well as the rectum. Therefore, combining ENE and LODDS into the current TNM system to compensate for the inadequacy of pN staging needs further investigation.

The role of lymph nodes in cervical cancer: incidence and identification of lymph node metastases-a literature review

Correct identification of patients with lymph node metastasis from cervical cancer prior to treatment is of great importance, because it allows more tailored therapy. Patients may be spared unnecessary surgery or extended field radiotherapy if the nodal status can be predicted correctly. This review captures the existing knowledge on the identification of lymph node metastases in cervical cancer. The risk of nodal metastases increases per 2009 FIGO stage, with incidences in the pelvic region ranging from 2% (stage IA2) to 14-36% (IB), 38-51% (IIA) and 47% (IIB); and in the para-aortic region ranging from 2 to 5% (stage IB), 10-20% (IIA), 9% (IIB), 13-30% (III) and 50% (IV). In addition, age, tumor size, lymph vascular space invasion, parametrial invasion, depth of stromal invasion, histological type, and histological grade are reported to be independent prognostic factors for the risk of nodal metastases. Furthermore, biomarkers can contribute to predict a patient's nodal status, of which the squamous cell carcinoma antigen (SCC-Ag) is currently the most widely used in squamous cell cervical cancer. Still, pre-treatment lymph node assessment is primarily performed by imaging, of which diffusion-weighted magnetic resonance imaging has the highest sensitivity and 2-deoxy-2-[¹⁸F]fluoro-D-glucose positron emission computed tomography the highest specificity. Imaging results can be combined with clinical parameters in nomograms to increase the accuracy of predicting positives nodes. Despite all the progress regarding pre-treatment prediction of lymph node metastases in cervical cancer in recent years, prediction rates are not robust enough to safely abandon surgical staging of the pelvic or para-aortic region yet.

Lymph Node Ratio Is a Strong Prognostic Factor in Patients with Early-Stage Cervical Cancer Undergoing Minimally Invasive Radical Hysterectomy

PURPOSE

To determine whether the prognostic impact of lymph node ratio (LNR), defined as the ratio between the number of positive lymph nodes and removed lymph nodes, differs between open and minimally invasive surgical approaches for radical hysterectomy (RH) in node-positive, early-stage cervical cancer.

MATERIALS AND METHODS

We retrospectively identified 2009 International Federation of Gynecology and Obstetrics stage IB1-IIA2 patients who underwent primary type C RH between 2010 and 2018. Among them, only those with pathologically proven lymph node metastases who received adjuvant radiation therapy were included. The prognostic significance of LNR was investigated according to open surgery and minimally invasive surgery (MIS).

RESULTS

In total, 55 patients were included. The median LNR (%) was 9.524 (range, 2.083-62.500). Based on receiver operating characteristic curve analysis, the cut-off value for LNR (%) was determined as 8.831. Overall, patients with high LNR (≥8.831%; n=29) showed worse disease-free survival (DFS) than those with low LNR (<8.831%, n=26) (p=0.027), whereas no difference in overall survival was observed. Multivariate analyses adjusting for clinicopathologic factors revealed that DFS was adversely affected by both MIS [adjusted hazard ratio (HR), 8.132; p=0.038] and high LNR (adjusted HR, 10.837; p=0.045). In a subgroup of open surgery cases, LNR was not associated with disease recurrence. However, in a subgroup of MIS cases, high LNR was identified as an independent poor prognostic factor for DFS (adjusted HR, 14.578; p=0.034).

CONCLUSION

In patients with node-positive, early-stage cervical cancer, high LNR was associated with a significantly higher disease recurrence rate. This relationship was further consolidated among patients who received MIS RH.

The extent of aortic lymphadenectomy in locally advanced cervical cancer impacts on survival

OBJECTIVE

The prognostic impact of surgical paraaortic staging remains unclear in patients with locally advanced cervical cancer (LACC). The objective of our study was to evaluate the results of the surgical technique of preoperative aortic lymphadenectomy in LACC related to tumor burden and disease spread to assess its influence on survival.

METHODS

Data of 1,072 patients with cervical cancer were taken from 11 Spanish hospitals (Spain-Gynecologic Oncology Group [GOG] working group). Complete aortic lymphadenectomy surgery (CALS) was considered when the lymph nodes (LNs) were excised up to the left renal vein. The extent of the disease was performed evaluating the LNs by calculating the geometric means and quantifying the log odds between positive LNs and negative LNs. The Kaplan-Meier method was used to estimate the survival distribution. A Cox proportional hazards model was used to account for the influence of multiple variables.

RESULTS

A total of 394 patients were included. Pathological analysis revealed positive aortic LNs in 119 patients (30%). LODDS cut-off value of -2 was established as a prognostic indicator. CALS and LODDS <-2 were associated with better disease free survival and overall survival than suboptimal aortic lymphadenectomy surgery and LODDS ≥-2. In a multivariate model analysis, CALS is revealed as an independent prognostic factor in LACC.

CONCLUSION

When performing preoperative surgical staging in LACC, it is not advisable to take simple samples from the regional nodes. Radical dissection of the aortic and pelvic regions offers a more reliable staging of the LNs and has a favorable influence on survival.

Comparison of different lymph node staging systems in patients with node-positive cervical squamous cell carcinoma following radical surgery

Objective: We compared the prognostic accuracy of four lymph node (LN) staging systems - the 2018 International Federation of Gynecology and Obstetrics (FIGO) stage, number of positive lymph node (PLN), metastatic lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) systems - in patients with node-positive cervical squamous cell carcinoma (CSCC) following radical surgery and explored the optimal choice for clinical applications. Materials and methods: Data were retrospectively collected from 928 node-positive CSCC patients who underwent radical surgery between 2006 and 2014 in our center. Tree-based recursive partitioning was applied to split variables (PLN, LNR, and LODDS) into low-risk and high-risk groups. The log-rank test was used to compare survival curves, and Cox regression analysis was performed to identify prognostic factors. The relative discriminative abilities of the different staging systems were assessed using Harrell's concordance index (C index) and the Akaike information criterion (AIC). Results: The mean number of PLNs was 3.8 (range: 1-44 nodes). According to the 2018 FIGO staging system, 831 patients had stage IIIC1, and 97 had stage IIIC2. For the PLN system, 761 patients were included in the low-risk group, and 167 were included in the high-risk group. For the LNR system, 658 patients were included in the low-risk group, and 270 were included in the high-risk group. The low-risk LODDS group included 694 patients, while the high-risk LODDS group included 234 patients. All four staging systems had a significant influence on patients' progression-free survival (PFS, P < 0.001) and overall survival (OS, P < 0.001). Univariate analysis and multivariate Cox analysis adjusted for significant factors indicated that the four staging systems were significant prognostic factors for PFS and OS. Among them, the PLN system was noted to have the best prognostic performance for both PFS (C index: 0.582; AIC: 8213.33) and OS (C index: 0.624; AIC: 8433.80). Conclusion: The PLN system seemed to be the most accurate LN staging method for predicting node-positive CSCC following radical surgery.

Prognostic value of log odds of positive lymph nodes in node-positive lung squamous cell carcinoma patients after surgery: a SEER population-based study

Background

Log odds of positive lymph nodes (LODDS) is a novel and promising ratio-based lymph node (LN) staging system in many malignancies. This study aimed to evaluate the prognostic value of LODDS, and comprehensively compare the prognostic predictive performance of LODDS with the American Joint Committee on Cancer (AJCC) N classification, number of positive lymph node (NPLN), and lymph node ratio (LNR) among node-positive lung squamous cell carcinoma (SCC) patients after surgery.

Methods

We identified 2,561 patients with N1/N2 stage SCC diagnosed between 2004 and 2014 from the Surveillance, Epidemiology, and End Results (SEER) database. X-tile analysis was used to calculate the optimal cut-off value for each staging system. Univariable and Multivariable Cox regression analyses were used to assess the association of cancer-specific survival (CSS), and overall survival (OS) with N, NPLN, LNR, and LODDS, separately, and integrally. Moreover, linear trend χ² score, likelihood ratio (LR) test, Akaike information criterion (AIC), and Harrell concordance index (C-index) were adopted as criteria for assessing the predictive ability of each model.

Results

The optimal cut-off values for NPLN, LNR, and LODDS were 3, 0.28, and −0.37, respectively. N, NPLN, LNR, and LODDS were identified as independent prognostic predictors for CSS and OS in patients with SCC when each of them was incorporated into multivariable Cox model separately. Additionally, LODDS had the higher linear trend χ² score, higher LR χ² test score, lower AIC, and higher C-index compared to the other three systems. Moreover, a combination of N, NPLN, and LODDS was superior to any staging system alone for predicting prognosis.

Conclusions

LODDS showed better predictive performance than N, NPLN, and LNR among patients with node-positive SCC after surgery. A combination of LODDS and the current AJCC TNM classification has the potential for becoming a better staging method to more precisely predicting prognosis.

Validation of the prognostic value of various lymph node staging systems for cervical squamous cell carcinoma following radical surgery: a single-center analysis of 3,732 patients

Background

To investigate the prognostic value of six lymph nodes (LNs) staging systems: TNM pN stage, 2018 Federation International of Gynecology and Obstetrics (FIGO) stage, number of positive LNs (PLN), number of negative LNs (NLN), metastatic LN ratio (LNR), and log odds of positive LNs (LODDS) in cervical squamous cell carcinoma (CSCC) patients following radical surgery.

Methods

The records of 3,732 CSCC patients who underwent radical surgery between 2006 and 2014 were retrospectively reviewed. We divided variables into different groups by applying tree-based recursive partitioning. Survival curves were compared by the log-rank test, and prognostic factors were identified through Cox regression analysis. The six staging systems underwent assessment for their relative discriminative abilities by way of Harrell’s concordance index (C-index) and the Akaike’s Information Criterion (AIC).

Results

All of the six staging systems had a significant influence on patients’ progression-free survival (PFS) and overall survival (OS), with univariate analysis showing all of the staging systems to have the significant prognostic ability in relation to PFS and OS (P<0.001 for each). Multivariate analysis demonstrated five of the staging methods to be independent prognostic factors, but that NLN classification was not. PLN was noted to have somewhat the best prognostic performance for both PFS (C-index: 0.634; AIC: 33,343.83) and OS (C-index: 0.675; AIC: 34,223.11).

Conclusions

The pN, 2018 FIGO stage, PLN, LNR, and LODDS appeared to predict better survival than the NLN in CSCC patients. Moreover, PLN appeared to be the most valuable and predictive LN staging system.

The prognostic value of lymph node ratio in stage IIIC cervical cancer patients triaged to primary treatment by radical hysterectomy with systematic pelvic and para-aortic lymphadenectomy

Objective

The aim of this study was to determine the prognostic value of lymph node ratio (LNR) in women with 2018 International Federation of Gynecology and Obstetrics stage IIIC cervical cancer.

Methods

In this retrospective dual-institutional study, a total of 185 node-positive cervical cancer patients who had undergone radical hysterectomy with systematic pelvic and para-aortic lymphadenectomy were included. All of the patients received adjuvant chemoradiation after surgery. LNR was defined as the ratio of positive lymph nodes (LNs) to the total number of LNs removed. The patients were categorized into 2 groups according to LNR; LNR <0.05 and LNR ≥0.05. The prognostic value of LNR was evaluated with univariate log-rank tests and multivariate Cox regression models.

Results

A total of 138 patients (74.6%) had stage IIIC1 disease and 47 (25.4%) patients had stage IIIC2 disease. With a median follow-up period of 45.5 months (range 3–135 months), the 5-year disease-free survival (DFS) rate was 62.5% whereas the 5-year overall survival (OS) rate was 70.4% for the entire study population. The 5-year DFS rates for LNR <0.05 and LNR ≥0.05 were 78.2%, and 48.4%, respectively (p<0.001). Additionally, the 5-year OS rates for LNR <0.05 and LNR ≥0.05 were 80.6%, and 61.2%, respectively (p=0.007). On multivariate analysis, LNR ≥0.05 was associated with a worse DFS (hazard ratio [HR]=2.12; 95% confidence interval [CI]=1.15–3.90; p=0.015) and OS (HR=1.95; 95% CI=1.01–3.77; p=0.046) in women with stage IIIC cervical cancer.

Conclusions

LNR ≥0.05 seems to be an independent prognostic factor for decreased DFS and OS in stage IIIC cervical carcinoma.

Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer

BACKGROUND

Lymph node metastasis (LNM) is the principal risk factor for poor outcomes in early-stage cervical cancer. Radiomics may offer a noninvasive way for predicting the stage of LNM.

PURPOSE

To evaluate a radiomic signature of LN involvement based on sagittal T₁ contrast-enhanced (CE) and T₂ MRI sequences.

STUDY TYPE

Retrospective.

POPULATION

In all, 143 patients were randomly divided into two primary and validation cohorts with 100 patients in the primary cohort and 43 patients in the validation cohort.

FIELD STRENGTH/SEQUENCE

T₁ CE and T₂ MRI sequences at 3T.

ASSESSMENT

The gold standard of LN status was based on histologic results. A radiologist with 10 years of experience used the ITK-SNAP software for 3D manual segmentation. A senior radiologist with 15 years of experience validated all segmentations. The area under the receiver operating characteristics curve (ROC AUC), classification accuracy, sensitivity, and specificity were used between LNM and non-LNM groups.

STATISTICAL TESTS

A total of 970 radiomic features and seven clinical characteristics were extracted. Minimum redundancy / maximum relevance and support vector machine algorithms were applied to select features and construct a radiomic signature. The Mann-Whitney U-test and the chi-square test were used to test the performance of clinical characteristics and potential prognostic outcomes. The results were used to assess the quantitative discrimination performance of the SVM-based radiomic signature.

RESULTS

The radiomic signatures allowed good discrimination between LNM and non-LNM groups. The ROC AUC was 0.753 (95% confidence interval [CI], 0.656-0.850) in the primary cohort and 0.754 (95% CI, 0584-0.924) in the validation cohort.

DATA CONCLUSIONS

A multiple-sequence MRI radiomic signature can be used as a noninvasive biomarker for preoperative assessment of LN status and potentially influence the therapeutic decision-making in early-stage cervical cancer patients.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:304-310.

Prognostic significance of lymph node ratio in node-positive cervical cancer patients

To determine whether the pelvic lymph node ratio (LNR) has significant prognostic value for survival and disease recurrence in node-positive, early stage cervical cancer patients.The medical records of 872 consecutive women who received postoperative adjuvant chemoradiotherapy were reviewed. Of these, 397 women with pathologically proven lymph nodal metastasis were included in this analysis and categorized into 3 groups according to their LNR: low (<0.1, n = 251), intermediate (0.1-0.4, n = 121), and high (>0.4, n = 25). The association between LNR and oncological outcome was evaluated using the Kaplan-Meier method and multivariate analysis.A total of 13,491 LNs were retrieved from 397 women, with a median harvest of 32 nodes per patient. There was a strong positive correlation between the number of metastatic LNs and LNR (r = 0.83, P < .01). With a median follow-up duration of 48 months, the 5-year overall survival (OS) and disease-free survival (DFS) rates were 73% and 67%, respectively. The OS and DFS curves among the pelvic LNR groups significantly differed: the 5-year OS rates of the low, intermediate, and high pelvic LNR groups were 83%, 66%, and 17% (P < .01), and the 5-year DFS rates were 77%, 56%, and 20% (P < .01), respectively.LNR is an important prognostic factor for survival outcomes in patients with uterine cervical cancer who underwent radical hysterectomy followed by adjuvant chemoradiotherapy.

The Prognostic Impact of the Number of Metastatic Lymph Nodes and a New Prognostic Scoring System for Recurrence in Early-Stage Cervical Cancer with High Risk Factors: A Multicenter Cohort Study (KROG 15-04)

Purpose

We aimed to assess prognostic value of metastatic pelvic lymph node (mPLN) in early-stage cervical cancer treated with radical surgery followed by postoperative chemoradiotherapy. Also, we sought to define a high-risk group using prognosticators for recurrence.

Materials and Methods

A multicenter retrospective study was conducted using the data from 13 Korean institutions from 2000 to 2010. A total of 249 IB-IIA patients with high-risk factors were included. We evaluated distant metastasis-free survival (DMFS) and disease-free survival (DFS) in relation to clinicopathologic factors including pNstage, number of mPLN, lymph node (LN)ratio (number of positive LN/number of harvested LN), and log odds of mPLNs (log(number of positive LN+0.5/number of negative LN+0.5)).

Results

In univariate analysis, histology (squamous cell carcinoma [SqCC] vs. others), lymphovascular invasion (LVI), number of mPLNs (≤ 3 vs. > 3), LN ratio (≤ 17% vs. > 17%), and log odds of mPLNs (≤ ‒0.58 vs. > ‒0.58) were significant prognosticators for DMFS and DFS. Resection margin involvement only affected DFS. No significant survival difference was observed between pN0 patients and patients with 1-3 mPLNs. Multivariate analysis revealed that mPLN > 3, LVI, and non-SqCC were unfavorable index for both DMFS (p < 0.001, p=0.020, and p=0.031, respectively) and DFS (p < 0.001, p=0.017, and p=0.001, respectively). A scoring system using these three factors predicts risk of recurrence with relatively high concordance index (DMFS, 0.69; DFS, 0.71).

Conclusion

mPLN > 3 in early-stage cervical cancer affects DMFS and DFS. A scoring system using mPLNs > 3, LVI, and non-SqCC could stratify risk groups of recurrence in surgically resected early-stage cervix cancer with high-risk factors.

Prognostic Value of Fluorine-18 Fluorodeoxyglucose Uptake of Bone Marrow on Positron Emission Tomography/Computed Tomography for Prediction of Disease Progression in Cervical Cancer

OBJECTIVE

This study aimed to evaluate the prognostic value of fluorine-18 fluorodeoxyglucose (FDG) uptake of bone marrow (BM) on positron emission tomography (PET)/computed tomography in patients with uterine cervical cancer.

METHODS

One hundred forty-five patients with cervical cancer who underwent staging FDG PET/computed tomography and subsequent surgical resection or chemoradiotherapy were retrospectively enrolled in the study. Mean BM FDG uptake (BM standardized uptake value [SUV]) and BM-to-liver uptake ratio of FDG uptake (BLR) were measured. Relationships of BM SUV and BLR with hematologic and inflammatory markers were evaluated. Prognostic values of PET parameters for predicting disease progression-free survival and distant recurrence-free survival (DRFS) were assessed with a Cox proportional hazards regression model.

RESULTS

Bone marrow SUV and BLR were significantly correlated with white blood cell count and neutrophil-to-lymphocyte ratio. In the multivariate Cox regression analysis, International Federation of Gynecology and Obstetrics stage (P = 0.048), neutrophil-to-lymphocyte ratio (P = 0.028), platelet-to-lymphocyte ratio (PLR; P = 0.004), maximum SUV of cervical cancer (P = 0.030), and BLR (P = 0.031) were significantly associated with progression-free survival, whereas lymph node metastasis (P = 0.041), PLR (P = 0.002), and BLR (P = 0.025) were significantly associated with DRFS. In a patient subgroup with chemoradiotherapy, BLR (P = 0.044) was still an independent prognostic factor for predicting DRFS in multivariate analysis along with PLR (P = 0.004).

CONCLUSIONS

In patients with cervical cancer, BLR is associated with an increased risk of disease progression and distant recurrence.