Dynamic Changes in Pre- and Postoperative Levels of Inflammatory Markers and Their Effects on the Prognosis of Patients with Gastric Cancer

Clinical Value of Nomograms Integrating Circulating Lipid and Inflammation Risk Score in Predicting Long-Term Outcomes After Radical Gastrectomy in Gastric Cancer: A Multicenter Real-World Study

BACKGROUND

The clinical value of incorporating lipid and inflammatory factors to predict long-term survival in patients with gastric cancer (GC) is unreported. This study aimed to investigate the clinical value of nomograms integrating the Circulating Lipid and Inflammation Risk Score (CLIRS) for predicting the long-term outcome of patients with GC.

METHODS

A retrospective analysis included patients with GC who underwent radical resection at four tertiary medical centers. Patients were divided into training and validation cohorts, with least absolute shrinkage and selection operator regression selecting optimal lipid and inflammatory indicators related to GC prognosis. The CLIRS was developed from six indicators: lymphocyte, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B.

RESULTS

Overall, 2534 patients were studied, including 1910 in the training cohort and 624 in the validation cohort. The CLIRS was an independent risk factor for overall survival (OS; hazard ratio [HR] 1.529, 95% confidence interval [CI] 1.271-1.839; p < 0.001) and disease-free survival (DFS; HR 1.511, 95% CI 1.267-1.801; p < 0.001) in GC patients. The OS nomogram (area under the receiver operating characteristic curve 0.823 vs. 0.785; p < 0.05) and DFS nomogram (AUC 0.804 vs. 0.770; p < 0.05) based on the CLIRS outperformed pTNM stage. High-risk patients had earlier and more sustained recurrence, with higher rates of local, peritoneal, and distant recurrences (p < 0.05).

CONCLUSIONS

The CLIRS, combining circulating lipid and inflammatory factors, is an independent prognostic factor for patients with GC. Nomograms incorporating the CLIRS are superior to pTNM stage in predicting postoperative survival and recurrence in patients with GC.

Analysis of Patients with Glioblastoma Treated with Standard 6-Week Chemoradiation Followed by Temozolomide: Treatment Outcomes and Prognostic Factors

Background and Objectives: We aimed to investigate the treatment outcomes and prognostic factors of survival among patients with glioblastoma who underwent 6-week concurrent chemoradiation therapy (CCRT) followed by temozolomide (TMZ) with Stupp's regimen in a single tertiary institution. Materials and Methods: Eighty patients with glioblastoma who underwent 6-week CCRT followed by TMZ between June 2010 and January 2024 were retrospectively investigated. A survival analysis was performed of factors such as age, O (6)-methylguanine-DNA methyltransferase promoter (MGMT) methylation, extent of resection, pre- and post-operative Karnofsky Performance Status, and inflammatory markers such as neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio. Post-operative inflammatory markers were assessed at 2-3 weeks post-operative before the initiation of CCRT. A subgroup analysis was performed of patients who underwent non-gross total resection (GTR). Results: The median progression-free survival (PFS) and overall survival (OS) of the entire cohort were 8.97 months and 19.0 months, respectively. Older age (≥65 years) and non-GTR status were adverse prognostic factors of PFS and OS. MGMT methylation is a favorable prognostic factor for PFS and OS. In the subgroup of patients who underwent non-GTR, MGMT methylation and post-operative LMR (<3.2/>3.2) were independent prognostic factors for PFS and OS. Conclusions: As with previous studies, older age, MGMT methylation, and extent of resection were independent prognostic factors for the survival of patients with glioblastoma who underwent standard treatment with Stupp's regimen. MGMT methylation and post-operative LMR were significant prognostic factors for PFS and OS among patients who underwent non-GTR. The prognostic significance of post-operative inflammatory markers for treatment response and survival should be further validated in glioblastoma patients treated with Stupp's regimen.

Longitudinal investigation of albumin-to-globulin ratio for human cancers demonstrates benefit in postoperative serial remeasurement

Previous studies on serum albumin-to-globulin ratio (AGR) in human cancers were limited to its preoperative level, with postoperative serial AGR remeasurements ignored. In this study, 2844 CRC patients, 2267 NSCLC patients and 507 HCC patients who underwent curative resection were included. Postoperative AGR was a prognostic factor independent to preoperative AGR, performing a L shaped relation with OS. The 5-year OS rates for the persistently normal, normalized, lowered and persistently low perioperative AGR groups were 84.0%, 80.7%, 78.5% and 70.2%. Three longitudinal AGR trajectory groups were identified within 12 months after surgery. Compared with the normal-stable group, the adjusted HRs on OS for the rising-decreasing and decreasing-rising groups were 1.38 (95% CI: 1.13-1.68, P = 0.001) and 2.78 (95% CI: 2.30-3.36, P < 0.001). Similar results were observed for RFS. In conclusion, a routine follow-up of AGR in the postoperative surveillance will improve prognosis risk stratification of cancer patients.

Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms

Background

Gastric cancer, a pervasive malignancy globally, often presents with regional lymph node metastasis (LNM), profoundly impacting prognosis and treatment options. Existing clinical methods for determining the presence of LNM are not precise enough, necessitating the development of an accurate risk prediction model.

Objective

Our primary objective was to employ machine learning algorithms to identify risk factors for LNM and establish a precise prediction model for stage II-III gastric cancer.

Methods

A study was conducted at Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between May 2010 and December 2022. This retrospective study analyzed 1147 surgeries for gastric cancer and explored the clinicopathological differences between LNM and non-LNM cohorts. Utilizing univariate logistic regression and two machine learning methodologies-Least absolute shrinkage and selection operator (LASSO) and random forest (RF)-we identified vascular invasion, maximum tumor diameter, percentage of monocytes, hematocrit (HCT), and lymphocyte-monocyte ratio (LMR) as salient factors and consolidated them into a nomogram model. The area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curves were used to evaluate the test efficacy of the nomogram. Shapley Additive Explanation (SHAP) values were utilized to illustrate the predictive impact of each feature on the model's output.

Results

Significant differences in tumor characteristics were discerned between LNM and non-LNM cohorts through appropriate statistical methods. A nomogram, incorporating vascular invasion, maximum tumor diameter, percentage of monocytes, HCT, and LMR, was developed and exhibited satisfactory predictive capabilities with an AUC of 0.787 (95% CI: 0.749-0.824) in the training set and 0.753 (95% CI: 0.694-0.812) in the validation set. Calibration curves and decision curves affirmed the nomogram's predictive accuracy.

Conclusion

In conclusion, leveraging machine learning algorithms, we devised a nomogram for precise LNM risk prognostication in stage II-III gastric cancer, offering a valuable tool for tailored risk assessment in clinical decision-making.

A predictive nomogram developed and validated for gastric cancer patients with triple-negative tumor markers

Aim: To predict the prognosis of gastric cancer patients with triple-negative tumor markers. Materials & methods: Prognostic factors of the nomogram were identified through univariate and multivariate Cox regression analyses. Calibration and receiver operating characteristic curves were used to assess accuracy. Decision curve analysis and concordance indexes were utilized to compare the nomogram with the pathological tumor, node, metastasis stage. Results: A nomogram incorporating log odds of positive lymph nodes, tumor size and lymphocyte-to-monocyte ratio was constructed. The calibration and receiver operating characteristic curves (area under the curve >0.85) showed high accuracy in predicting overall survival. The concordance indexes (0.832 vs 0.760; p < 0.001) and decision curve analysis demonstrated that the nomogram was superior to the pathological tumor, node, metastasis stage. Conclusion: A prediction and risk stratification nomogram has been developed and validated for gastric cancer patients with triple-negative tumor markers.

Textbook Neoadjuvant Outcome-Novel Composite Measure of Oncological Outcomes among Gastric Cancer Patients Undergoing Multimodal Treatment

The incidence of gastric cancer (GC) is expected to increase to 1.77 million cases by 2040. To improve treatment outcomes, GC patients are increasingly treated with neoadjuvant chemotherapy (NAC) prior to curative-intent resection. Although NAC enhances locoregional control and comprehensive patient care, survival rates remain poor, and further investigations should establish outcomes assessment of current clinical pathways. Individually assessed parameters have served as benchmarks for treatment quality in the past decades. The Outcome4Medicine Consensus Conference underscores the inadequacy of isolated metrics, leading to increased recognition and adoption of composite measures. One of the most simple and comprehensive is the "All or None" method, which refers to an approach where a specific set of criteria must be fulfilled for an individual to achieve the overall measure. This narrative review aims to present the rationale for the implementation of a novel composite measure, Textbook Neoadjuvant Outcome (TNO). TNO integrates five objective and well-established components: Treatment Toxicity, Laboratory Tests, Imaging, Time to Surgery, and Nutrition. It represents a desired, multidisciplinary care and hospitalization of GC patients undergoing NAC to identify the treatment- and patient-related data required to establish high-quality oncological care further. A key strength of this narrative review is the clinical feasibility and research background supporting the implementation of the first and novel composite measure representing the "ideal" and holistic care among patients with locally advanced esophago-gastric junction (EGJ) and GC in the preoperative period after NAC. Further analysis will correlate clinical outcomes with the prognostic factors evaluated within the TNO framework.

Systemic immune inflammation index and gastric cancer prognosis: A systematic review and meta‑analysis

The present study aimed to pool the available data on the associations between the systemic immune inflammation index (SII) and overall survival (OS) or recurrence-free survival (RFS) in patients with gastric cancer (GC). A systematic search was conducted in the PubMed, EMBASE and Scopus databases for observational studies, and a random effects model was used to conduct the statistical analysis. Pooled effect sizes were reported as hazard ratios (HRs) with corresponding 95% confidence intervals (CI). Data from 30 studies (24 conducted in China) with follow-ups ranging between 15.5 and 65.6 months were analyzed. Patients with GC and high SII levels had poor OS (HR, 1.53; 95% CI, 1.34-1.75) and recurrence free survival (HR, 1.41; 95% CI, 1.17-1.70). These increased risks were present irrespective of the treatment strategy (surgical or non-surgical management), the sample size (<500 and ≥500) and the cut-off used to define high and low SII (<600 and ≥600 x109 cells/l). The results of this meta-analysis suggest that high pretreatment SII levels were associated with poor OS and RFS in patients with GC.

Development and validation of serological dynamic risk score to predict outcome in gastric cancer with adjuvant chemotherapy: a multicentre, longitudinal, cohort study

Background

Baseline serological biomarkers have the potential to predict the benefits of adjuvant chemotherapy in patients with gastric cancer. However, the fluctuating nature of postoperative recurrence risk makes precise treatment challenging. We aimed to develop a risk score in real-time predicting outcomes for postoperative GC patients using blood chemistry tests.

Materials and methods

This was a retrospective, multicentre, longitudinal cohort study from three cancer centres in China, with a total of 2737 GC patients in the pTNM stage Ib to III. Among them, 1651 patients with at least two serological records were assigned to the training cohort. Model validation was carried out using separate testing data with area under curve (AUC). The least absolute shrinkage and selection operator (LASSO) and random forest-recursive feature elimination (RF-RFE) algorithm were used to select the parameters.

Results

The Cox regression model derived six risk factors to construct a composite score (low-risk: 0-2 score; high risk: 3-6 score), including CEA, CA125, CA199, haemoglobin, albumin, and neutrophil to lymphocyte ratio. The risk score accurately predicted mortality in 1000-time bootstrap (AUROCs:0.658; 95% CI: 0.645, 0.670), with the highest AUROC (0.767; 95% CI: 0.743, 0.791) after 1 year since the gastrectomy. In validation dataset, the risk score had an AUROC of 0.586 (95% CI 0.544, 0.628). Furthermore, patients with high risk at 1 month derived significant clinical benefits from adjuvant chemotherapy (P for interaction <0.0001). Compared with the low-low-low risk group, the low-low-high risk group of the long-term state chain (risk state at baseline, 6 months, 1 year) had the worse OS (HR, 6.91; 95%CI: 4.27, 11.19) and DFS (HR, 7.27; 95%CI: 4.55, 11.63).

Conclusion

The dynamic risk score is an accurate and user-friendly serological risk assessment tool for predicting outcomes and assisting clinical decisions after gastrectomy.

Pilot study: a detailed analysis of the timing of immuno-inflammatory indices in gastric cancer, and their assessment together with TNM as supplementary prognostic factors

An analysis of the prognostic impact of up to 36 immuno-inflammatory indices at 3 different times during the diagnostic-therapeutic process for gastric cancer. The dependent variable was disease-free survival at 3 years. The independent factors obtained were combined with TNM to provide an improved prognostic model.

Systemic inflammatory response markers for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer

BACKGROUND

Tumour development is greatly influenced by the systemic inflammatory response. Inflammatory factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphcyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), mirror the balance between systemic inflammation and anti-tumour response. The current investigation examined the predictive and prognostic value of NLR, PLR, and LMR in advanced gastric cancer (GC) patients.

METHODS

This study is a retrospective, observational analysis involving 105 GC patients treated with neoadjuvant chemotherapy (NAC). Thestudy population included patients who met the eligibility criteria.The relationship between NLR, PLR, LMR and demographic and clinical variables was assessed using theΧ2test. Survival data were analysed by Kaplan-Meier curves.

RESULTS

High NLR levels were associated with more advanced tumour stage.Higher risk of no tumour regression after NAC was observed if a high pretreatment level of NLR or PLR was found. All patients with an increase in NLR after NAC had a significantly higher risk of no tumor response.In groups high (no change), increase, decrease, and low (no change), NLR and PLR OS medians were: 33, 67, 78, and not reached-NR and 34, 29, 36, and NR, respectively. All patients had a significantly higher risk of death if NLR increased after NAC. An increase in post-NAC PLR level was associated with an increased risk of death only if the PLR baseline value was low.

CONCLUSION

NLR and PLR are promising predictive and prognostic factors in advanced GC patients treated with NAC.

Using complete blood count-derived inflammatory markers to compare postoperative inflammation in dogs undergoing open or laparoscopic ovariectomy

BACKGROUND

The inflammatory response triggered in dogs after laparoscopic ovariectomy (LapOV) or ovariectomy through mini-celiotomy (COV) has never been compared using the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic inflammatory index (SII).

METHODS

Bitches underwent LapOV (n = 25) or COV (n = 25). NLR, PLR and SII were calculated 1 hour before ovariectomy (T0) and 2-3, 6-8 and 20-24 hours (T1-T3) after surgery.

RESULTS

Surgical time was longer in the LapOV group. Changes over time were observed in the NLR, PLR and SII in both groups (p < 0.001). PLR at baseline and T1 (p = 0.03 and 0.01) and NLR, PLR and SII at T2 (p = 0.01, 0.01 and 0.009) were higher in the LapOV group than in the COV group, but they did not differ at T3.

LIMITATIONS

The overrepresentation of Greyhounds in the LapOV group and the short-term follow-up are the study's main limitations.

CONCLUSION

Although an inflammatory peak was observed 6-8 hours after COV or LapOV, it was higher after the laparoscopy. However, there was no difference in the bitches' inflammatory status 24 hours after surgery.

Prognostic Value of Post-Operative C-Reactive Protein-Based Inflammatory Biomarkers in Colorectal Cancer Patients: Systematic Review and Meta-Analysis

Post-operative inflammation in cancer patients can be modulated by drugs and diets, but evidence on its prognostic role, which would be crucial for personalized treatment and surveillance schemes, remains rather limited. We aimed to systematically review and meta-analyse studies on the prognostic value of post-operative C-reactive protein (CRP)-based inflammatory biomarkers among patients with colorectal cancer (CRC) (PROSPERO#: CRD42022293832). PubMed, Web of Science and Cochrane databases were searched until February 2023. Studies reporting associations between post-operative CRP, Glasgow Prognostic Score (GPS) or modified Glasgow Prognostic Score (mGPS) with overall survival (OS), CRC-specific survival (CSS) and recurrence-free survival (RFS) were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the predictor-outcome associations were pooled using R-software, version 4.2. Sixteen studies (n = 6079) were included in the meta-analyses. Elevated post-operative CRP was a predictor of poor OS, CSS and RFS compared with low CRP levels [HR (95% CI): 1.72 (1.32-2.25); 1.63 (1.30-2.05); 2.23 (1.44-3.47), respectively]. A unit increase in post-operative GPS predicted poor OS [HR (95% Cl): 1.31 (1.14-1.51)]. Moreover, a unit increase in post-operative mGPS was associated with poor OS and CSS [HR (95% Cl): 1.93 (1.37-2.72); 3.16 (1.48-6.76), respectively]. Post-operative CRP-based inflammatory biomarkers have a significant prognostic role for patients with CRC. Prognostic value of these easy-to-obtain routine measurements thereby seems to outperform most of the much more complex blood- or tissue-based predictors in the current focus of multi-omics-based research. Future studies should validate our findings, establish optimal time for biomarker assessment and determine clinically useful cut-off values of these biomarkers for post-operative risk-stratification and treatment-response monitoring.

Value of the Preoperative D-Dimer to Albumin Ratio for Survival and Recurrence Patterns in Gastric Cancer

BACKGROUND

D-dimer (DDI) and albumin are prognostic markers for numerous cancers; however, the predictive value of the preoperative DDI-to-albumin ratio (DAR) on the survival and recurrence patterns of gastric cancer (GC) remains unclear.

OBJECTIVE

The aim of this study was to explore the prognostic value of the DAR in GC.

METHODS

Our study included 1766 patients with GC, divided into training and testing cohorts at a ratio of 7:3. Patients were classified into either a high-DAR group (> 0.0145) or low-DAR group (≤ 0.0145) according to the cut-off value of receiver operating characteristic (ROC) curve analysis. The relationship between the DAR and recurrence pattern was analyzed in stage II/III patients.

RESULTS

Eight preoperative hematological factors were included and 17 composite inflammatory markers were constructed. ROC and random forest analyses indicated that among 17 markers, DAR was the best predictor for overall survival (OS) in GC (p < 0.01). High DAR was significantly associated with poor OS (hazard ratio [HR] 1.89, p < 0.001) and recurrence-free survival (RFS; HR 1.85, p < 0.001). Subgroup analysis showed no differences in OS and RFS between the high- and low-DAR groups in stage I or pT1/2 or pN0/1 patients; however, in stage II/III or pT3/4 or pN2/3 patients, the high-DAR group had shorter OS and RFS rates than the low-DAR group (p < 0.001). Similar results were found in the testing cohort. According to the multivariate analysis based on the training cohort, five indices, including DAR, cT stage, cN stage, age and body mass index (BMI), were incorporated to establish a nomogram model to predict the long-term prognosis of GC. The model showed comparable forecast performance in predicting OS (C-index: 0.773 vs. 0.786) and RFS (C-index: 0.788 vs. 0.795) compared with pTNM. Recurrence pattern analysis in stage II/III patients showed that the high-DAR group had a higher incidence of peritoneal implantation and early recurrence (ER) than the low-DAR group, and the post-recurrence survival in the high-DAR group was significantly shorter than that in the low-DAR group (p = 0.016).

CONCLUSION

The preoperative DAR is a new biomarker for the long-term survival prediction of GC. In advanced GC, a preoperative DAR > 0.0145 aids the timely detection of ER and peritoneal recurrence after surgery, thus guiding individual follow-up strategies.

Dynamic changes in systemic immune-inflammation index predict pathological tumor response and overall survival in patients with gastric or gastroesophageal junction cancer receiving neoadjuvant chemotherapy

AIM

Systemic inflammation has been associated with chemoresistance and prognosis in solid tumors. Systemic immune-inflammation index (SII) is a novel marker derived from complete blood count. We investigated whether differences between SIIs measured before and after neoadjuvant chemotherapy (NACT) are associated with tumor regression grade (TRG) and survival in gastric and gastroesophageal junction (GEJ) cancer patients.

METHODS

Records of gastric and GEJ cancer patients treated with NACT in two centers were evaluated retrospectively. Patients were categorized according to difference between pre- and post-NACT SII values (ΔSII). Association between clinicopathological factors and TRG was analyzed using logistic regression method. Predictors of disease-free and overall survival (DFS and OS) were determined with Cox regression models.

RESULTS

The study included 140 patients. Patients with ΔSII<0 were more likely to achieve TRG 0/1 (45.2% vs. 19.1%, p = 0.003) and ΔSII<0 was an independent predictor of TRG 0/1 (OR = 6.05, p<0.001). DFS and OS of patients with ΔSII<0 were also significantly longer (p = 0.031 and p = 0.006, respectively). After adjustment for other variables, ΔSII≥0 was an independent prognostic factor for OS (Hazard ratio (HR) = 2.13, p = 0.008).

CONCLUSIONS

Changes in SII, which is a low-cost and easily accessible marker, may be used to estimate prognosis, individualize postoperative treatment and optimize surveillance in gastric and GEJ cancer patients treated with NACT.

Effect of Perioperative Blood Transfusions and Infectious Complications on Inflammatory Activation and Long-Term Survival Following Gastric Cancer Resection

Background: The aim of this study was to evaluate the impact of perioperative blood transfusion and infectious complications on postoperative changes of inflammatory markers, as well as on disease-free survival (DFS) in patients undergoing curative gastric cancer resection. Methods: Multicenter cohort study in all patients undergoing gastric cancer resection with curative intent. Patients were classified into four groups based on their perioperative course: one, no blood transfusion and no infectious complication; two, blood transfusion; three, infectious complication; four, both transfusion and infectious complication. Neutrophil-to-lymphocyte ratio (NLR) was determined at diagnosis, immediately before surgery, and 10 days after surgery. A multivariate Cox regression model was used to analyze the relationship of perioperative group and dynamic changes of NLR with disease-free survival. Results: 282 patients were included, 181 in group one, 23 in group two, 55 in group three, and 23 in group four. Postoperative NLR changes showed progressive increase in the four groups. Univariate analysis showed that NLR change > 2.6 had a significant association with DFS (HR 1.55; 95% CI 1.06−2.26; p = 0.025), which was maintained in multivariate analysis (HR 1.67; 95% CI 1.14−2.46; p = 0.009). Perioperative classification was an independent predictor of DFS, with a progressive difference from group one: group two, HR 0.80 (95% CI: 0.40−1.61; p = 0.540); group three, HR 1.42 (95% CI: 0.88−2.30; p = 0.148), group four, HR 2.85 (95% CI: 1.64−4.95; p = 0.046). Conclusions: Combination of perioperative blood transfusion and infectious complications following gastric cancer surgery was related to greater NLR increase and poorer DFS. These findings suggest that perioperative blood transfusion and infectious complications may have a synergic effect creating a pro-inflammatory activation that favors tumor recurrence.

Prognostic Abilities of Pre- and Post-Treatment Inflammatory Markers in Oral Squamous Cell Carcinoma: Stepwise Modelling

Background and Objectives: Studies examining the importance of inflammatory markers before treatment as prognosticators of OSCC are available, but information on post-therapy inflammatory markers and their prognostic significance is limited. This study aimed to evaluate the prognostic abilities of pre- and post-treatment inflammatory markers in patients with OSCC. Materials and Methods: In this retrospective analysis, information on 151 OSCC patients’ socio-demographic, clinico-pathological, recurrence, metastasis, and survival data were gathered from clinical records. A multivariable Cox proportional hazards regression (stepwise model) was conducted to identify the prognostic predictors of OS and DFS. The multivariable models’ performances were evaluated using Harrell’s concordance statistics. Results: For OS, high pre-treatment LMR (HR 3.06, 95%CI 1.56, 5.99), and high post-treatment PLC (HR 3.35, 95%CI 1.71, 6.54) and PLR (HR 5.26, 95%CI 2.62, 10.58) were indicative of a poor prognosis. For DFS, high pre-treatment SII (HR 2.59, 95%CI 1.50, 4.48) and high post-treatment PLC (HR 1.92, 95%CI 1.11, 3.32) and PLR (HR 3.44, 95%CI 1.98, 5.07) were associated with increased mortality. The fitness of the OS and DFS stepwise Cox regression models were proven with a time-dependent AUC of 0.8787 and 0.8502, respectively. Conclusions: High pre-treatment levels of LMR and SII and high post-treatment levels of PLC and PLR are independent predictors of a poor prognosis for patients with OSCC.

Prognostic Nutritional Index and Neutrophil/Lymphocyte Ratio Can Serve as Independent Predictors of the Prognosis of Hepatocellular Carcinoma Patients Receiving Targeted Therapy

Objective

The prognostic nutritional index (PNI) is an immunonutritional indicator, and the neutrophil/lymphocyte ratio (NLR) reflects the inflammatory status. This research intends to determine the implications of NLR and PNI in evaluating the outcome of hepatocellular carcinoma (HCC) patients undergoing targeted therapy (TT).

Methods

We retrospectively analyzed 83 patients' records with sorafenib treatment for advanced HCC in the Second Affiliated Hospital of Anhui Medical University. Patient records comprised general data and blood routines. The PNI and NLR values were calculated using the serum albumin levels (ALB), neutrophil (NEU) count, and lymphocyte (LY) count. The optimal thresholds of the PNI and NLR for predicting HCC patients' outcomes were calculated by X-tile. Patients were further assigned to low- and high-groups of PNI and NLR according to their thresholds. By using the Cox proportional hazards regression models, univariate and multivariate analyses were conducted to identify risk factors influencing the patient's prognosis.

Results

The participants were assigned to the corresponding low-PNI (≤42.9; n = 10) and high-PNI (>42.9; n = 73) groups, as well as low-NLR (≤2.4; n = 64) and high-NLR (>2.4; n = 19) groups based on the critical values of PNI (42.9) and NLR (2.4) obtained through the X-tile calculation. A higher overall survival (OS) rate was observed in the high-PNI group and low-NLR group, than in the low-PNI group and high-NLR group, respectively. The disease control rate showed no evident difference between the groups. The PNI and NLR were of high reliability in predicting the OS of patients. Cox multivariate analysis identified the independence of the PNI and NLR as prognostic factors for patients receiving TT for advanced HCC.

Conclusions

The pretreatment PNI and NLR levels have great prognostic implications for advanced HCC patients receiving TT. A higher PNI and a lower NLR suggest a higher postoperative survival rate.

Perioperative lymphocyte-to-monocyte ratio changes plus CA199 in predicting the prognosis of patients with gastric cancer

Background

This study aimed to investigate the value of perioperative lymphocyte-to-monocyte ratio (LMR) changes in predicting postoperative survival among patients undergoing radical gastrectomy, and explore whether the combination of preoperative carbohydrate antigen 199 (CA199) and LMR changes would further improve the prognostic accuracy.

Methods

A total of 456 patients who underwent radical gastrectomy at the Affiliated Hospital of Nantong University were included as the training set, and 210 patients from the Nantong Tumor Hospital were enrolled as the validation set. The patients' peripheral complete blood counts, including lymphocytes, monocytes, and tumor marker CA199 level, were checked regularly in all patients 1 week before and after radical gastrectomy by two technicians who were blinded to their clinical characteristics. The LMR was calculated by dividing the lymphocyte count by the monocyte count in the peripheral blood. ^ΔLMR could be obtained by subtracting the preoperative LMR from the postoperative LMR. The serum CA199 level was determined through a latex immunoassay (Mitsubishi Chemical Ltd., Japan). The survival curve was drawn according to the Kaplan-Meier method, and variables with P<0.05 in univariate analyses were transferred to multivariate Cox regression analysis. A nomogram was constructed using the finalized separated prognostic factors of gastric cancer (GC). The main prognostic indicator was overall survival (OS).

Results

In the training and validation sets, the prognostic predictive ability of CA199 and ^ΔLMR (postoperative LMR minus preoperative LMR) was independently evaluated (both P<0.05). ^ΔLMR and CA199 were used to establish the ^ΔLMR-CA199 score. The results showed that the higher the ^ΔLMR-CA199 risk score, the worse the prognosis, especially in patients with advanced GC. Postoperative adjuvant chemotherapy improved the long-term prognosis of patients with a ^ΔLMR-CA199 score of 1 but had no significant effect on the survival rate of patients with 0 and 2 points.

Conclusions

^ΔLMR-CA199 can better predict the long-time survival of patients with GC. In addition, it can also predict the response of postoperative adjuvant chemotherapy in patients with GC.

Association of multiple tumor markers with newly diagnosed gastric cancer patients: a retrospective study

Background

The purpose of this paper was to explore the correlation between multiple tumor markers and newly diagnosed gastric cancer.

Methods

We selected 268 newly diagnosed patients with gastric cancer and 209 healthy subjects for correlation research. The detection of multiple tumor markers was based on protein chips and the results were statistically analyzed using SPSS.

Results

We concluded that gastric cancer was significantly related to gender, age, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), carbohydrate antigen 199 (CA199), and carbohydrate antigen 242 (CA242) positive levels (P < 0.001). After CA199 and CA242 were stratified by gender, the male odds ratio (OR) was 30.400 and 31.242, respectively, while the female OR was 3.424. After CA125 was stratified by age in patients over 54 years old with gastric cancer, the risk of occurrence in the CA125-positive population was 16.673 times that of the CA125-negative patients. Among patients 54 years old and younger, being CA125-positive was not a risk factor for gastric cancer (P = 0.082). AFP, CEA, CA125, CA199, and CA242 positive levels during the M1 stage were statistically significant when compared with the M0 stage and control group (P < 0.001), but the AFP (P = 0.045) and CA125 (P = 0.752) positive levels were not statistically significant when compared with the M0 stage and control group. The combined detection sensitivity of multiple tumor markers was 44.78%.

Conclusion

Our research shows that gastric cancer is associated with age, gender, and the positive levels of AFP, CEA, CA125, CA199, and CA242. The positive levels of AFP and CA125 were related to the distant metastasis of gastric cancer. To a certain extent, the combined detection sensitivity can be used for the initial screening of gastric cancer.

Expression and prognostic value of ratios of platelet lymphocyte, neutrophil lymphocyte and lymphocyte monocyte in breast cancer patients

BACKGROUND

The ratios of systemic inflammatory cells, neutrophil lymphocyte (NLR), platelet lymphocyte (PLR) and lymphocyte monocyte (LMR) can be used as prognostic indicators of breast cancer (BC). The purpose of this study was to explore the value of inflammatory markers in predicting the pathological reaction and prognosis of patients with BC after surgical treatment.

METHODS

A total of 144 BC patients who received standard neoadjuvant therapy in Shangqiu First People's Hospital from January 2016 to January 2018 were analyzed retrospectively. The clinical data of patients were collected and the effects of NLR, PLR and LMR on disease-free survival were evaluated by chi-square test and COX regression. The diagnostic value of NLR, PLR and LMR in BC recurrence was analyzed by receiver operating characteristic (ROC) curve.

RESULTS

Of the 144 patients, 20 (13.89%) had local or distant metastasis. The areas under the ROC curve of NLR, PLR and LMR in peripheral blood for the diagnosis of BC recurrence were 0.713, 0.683 and 0.765, respectively. Multivariate Cox regression analysis showed that T stage, lymph node metastasis, PLR, LMR and HER2 were independent risk factors for prognosis.

CONCLUSION

Inflammatory markers based on NLR, PLR and LMR may become biological indicators to predict the pathological features and prognosis of invasive BC in the future.

The Significance of Systemic Inflammation Markers in Intrahepatic Recurrence of Early-Stage Hepatocellular Carcinoma after Curative Treatment

Systemic inflammatory markers (SIMs) are known to be associated with carcinogenesis and prognosis of hepatocellular carcinoma (HCC). We evaluated the significance of SIMs in intrahepatic recurrence (IHR) of early-stage HCC after curative treatment. This study was performed using prospectively collected registry data of newly diagnosed, previously untreated HCC between 2005 and 2017 at a single institution. Inclusion criteria were patients with Barcelona Clinic Liver Cancer stage 0 or A, who underwent curative treatment. Pre-treatment and post-treatment values of platelet, neutrophil, lymphocyte, monocyte, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and lymphocyte/monocyte ratio (LMR) were analyzed with previously well-known risk factors of HCC to identify factors associated with IHR-free survival (IHRFS), early IHR, and late IHR. Of 4076 patients, 2142 patients (52.6%) experienced IHR, with early IHR in 1018 patients (25.0%) and late IHR in 1124 patients (27.6%). Pre-treatment platelet count and PLR and post-treatment worsening of NLR, PLR, and LMR were independently associated with IHRFS. Pre-treatment platelet count and post-treatment worsening of NLR, PLR, and LMR were significantly related to both early and late IHR. Pre-treatment values and post-treatment changes in SIMs were significant factors of IHR in early-stage HCC, independent of previously well-known risk factors of HCC.

Prognostic Value of Systemic Inflammatory Response Markers in Patients Undergoing Neoadjuvant Chemotherapy and Gastrectomy for Advanced Gastric Cancer in the Eastern European Population

Simple Summary

This study aimed to verify the prognostic value of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in GC patients undergoing neoadjuvant chemotherapy (NAC) and gastrectomy. Elevated NLR and PLR prior to NAC were associated with significantly higher risk of death (mOS: 36 vs. 87 months; HR = 2.21; p = 0.0255 and mOS: 30 vs. 87 months; HR = 2.89; p = 0.0034, respectively). Additionally, a significantly higher risk of death was observed in patients with elevated NLR after NAC (mOS: 35 vs. 87 months; HR = 1.94; p = 0.0368). Selected systemic inflammatory response markers (NLR, PLR) are significant prognostic factors in patients with advanced GC treated with NAC and gastrectomy, as shown in the Eastern European population.

Abstract

The prognostic value of the systemic inflammatory response markers, namely neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) has not yet been clarified in patients undergoing neoadjuvant chemotherapy (NAC) and gastrectomy for advanced gastric cancer (GC) in the Eastern European population. This study aimed to verify the prognostic value of NLR, PLR, and LMR in GC patients undergoing multimodal treatment. One hundred six GC patients undergoing NAC and gastrectomy between 2012 and 2020 were included. Analysed blood samples were obtained prior to NAC (pre-NAC group) and before surgical treatment (post-NAC group). To evaluate the prognostic value of the NLR, LMR, and PLR, univariable and multivariable overall survival (OS) analyses were performed. In the pre-NAC group, elevated NLR and PLR were associated with significantly higher risk of death (mOS: 36 vs. 87 months; HR = 2.21; p = 0.0255 and mOS: 30 vs. 87 months; HR = 2.89; p = 0.0034, respectively). Additionally, a significantly higher risk of death was observed in patients with elevated NLR in the post-NAC group (mOS: 35 vs. 87 months; HR = 1.94; p = 0.0368). Selected systemic inflammatory response markers (NLR, PLR) are significant prognostic factors in patients with advanced GC treated with NAC and gastrectomy, as shown in the Eastern European population.

Systematic Review of Prognostic Role of Blood Cell Ratios in Patients with Gastric Cancer Undergoing Surgery

Various blood cell ratios exist which seem to have an impact on prognosis for resected gastric cancer patients. The aim of this systematic review was to investigate the prognostic role of blood cell ratios in patients with gastric cancer undergoing surgery in a curative attempt. A systematic literature search in MEDLINE (via PubMed), CENTRAL, and Web of Science was performed. Information on survival and cut-off values from all studies investigating any blood cell ratio in resected gastric cancer patients were extracted. Prognostic significance and optimal cut-off values were calculated by meta-analyses and a summary of the receiver operating characteristic. From 2831 articles, 65 studies investigated six different blood cell ratios (prognostic nutritional index (PNI), lymphocyte to monocyte ratio (LMR), systemic immune-inflammation index (SII), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR)). There was a significant association for the PNI and NLR with overall survival and disease-free survival and for LMR and NLR with 5-year survival. The used cut-off values had high heterogeneity. The available literature is flawed by the use of different cut-off values hampering evidence-based patient treatment and counselling. This article provides optimal cut-off values recommendations for future research.

Potential Therapeutic Action of Autophagy in Gastric Cancer Managements: Novel Treatment Strategies and Pharmacological Interventions

Gastric cancer (GC), second most leading cause of cancer-associated mortality globally, is the cancer of gastrointestinal tract in which malignant cells form in lining of the stomach, resulting in indigestion, pain, and stomach discomfort. Autophagy is an intracellular system in which misfolded, aggregated, and damaged proteins, as well as organelles, are degraded by the lysosomal pathway, and avoiding abnormal accumulation of huge quantities of harmful cellular constituents. However, the exact molecular mechanism of autophagy-mediated GC management has not been clearly elucidated. Here, we emphasized the role of autophagy in the modulation and development of GC transformation in addition to underlying the molecular mechanisms of autophagy-mediated regulation of GC. Accumulating evidences have revealed that targeting autophagy by small molecule activators or inhibitors has become one of the greatest auspicious approaches for GC managements. Particularly, it has been verified that phytochemicals play an important role in treatment as well as prevention of GC. However, use of combination therapies of autophagy modulators in order to overcome the drug resistance through GC treatment will provide novel opportunities to develop promising GC therapeutic approaches. In addition, investigations of the pathophysiological mechanism of GC with potential challenges are urgently needed, as well as limitations of the modulation of autophagy-mediated therapeutic strategies. Therefore, in this review, we would like to deliver an existing standard molecular treatment strategy focusing on the relationship between chemotherapeutic drugs and autophagy, which will help to improve the current treatments of GC patients.

Machine Learning-based Correlation Study between Perioperative Immunonutritional Index and Postoperative Anastomotic Leakage in Patients with Gastric Cancer

Backgrounds: The immunonutritional index showed great potential for predicting postoperative complications in various malignant diseases, while risk assessment based on machine learning (ML) methods is becoming popular in clinical practice. Early detection and prevention for postoperative anastomotic leakage (AL) play an important role in prognosis improvement among patients with gastric cancer (GC). Methods: This retrospective study included 297 patients with gastric cancer receiving gastrectomy between 2018 and 2021 in general surgery department of Xinhua Hospital. Perioperative clinical variables were collected to evaluate the predictive value for postoperative AL with 5 ML models. Then, AUROC was applied to identify the optimal perioperative clinical index and ML model for predicting postoperative AL. Results: The incidence of postoperative AL was 6.1% (n=18). After the training of 5 ML classification models, we found that immunonutritional index had significantly better classification ability than inflammatory or nutritional index alone separately (AUROC=0.87 vs. 0.83, P=0.01; AUROC=0.87 vs. 0.68, P<0.01). Next, we found that support vector machine (SVM), one of the ML methods, with selected immunonutritional index showed significantly greater classification ability than optimal univariant parameter [CRP on postoperative day 4 (AUROC=0.89 vs.0.86, P=0.02)]. Also, statistical analysis revealed multiple variables with significant relevance to postoperative AL, including serum CRP and albumin on postoperative day 4, NLR and SII etc. Conclusion: This study showed that perioperative immunonutritional index could act as an indicator for postoperative AL. Also, ML methods could significantly enhance the classification ability, and therefore, could be applied as a powerful tool for postoperative risk assessment for patients with GC.

High platelet-lymphocyte ratio is a risk factor for 30-day mortality in in-hospital cardiac arrest patients: a case-control study

OBJECTIVES

This study explored the association of early dynamic changes in inflammatory markers with 30-day mortality in in-hospital cardiac arrest (IHCA) patients.

METHODS

This study retrospectively enrolled 85 IHCA patients. The outcome was 30-day mortality. A linear mixed model was used to analyze the dynamic changes in laboratory indicators within 72 h after recovery of spontaneous circulation(ROSC).

RESULTS

Within 72 h after ROSC, the absolute monocyte count (AMC) showed no significant change trend, and the absolute lymphocyte count (ALC) showed an overall upward trend, while the absolute neutral count (ANC), white blood cell (WBC) count, platelet (PLT) count, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) showed overall downward trends. Cox multivariate analysis showed that the Charlson comorbidity index (CCI) (HR = 2.37, 95%CI (1.08, 5.17)), Acute Physiology and Chronic Health Evaluation II (APACHE II) score (HR = 2.55, 95% CI (1.00, 6.50)), abnormal creatinine level before IHCA (HR = 3.42, 95% CI (1.44, 8.10)) and PLR within 72 h after ROSC (HR = 2.99, 95% CI (1.44, 6.21)) were independent risk factors for 30-day mortality.

CONCLUSIONS

The PLR can be used as a predictor of 30-day mortality in IHCA patients.

Systemic Immune-Inflammation Index Predicts Overall Survival in Patients with Gastric Cancer: a Propensity Score-Matched Analysis

BACKGROUND

The systemic immune-inflammation index (SII), integrated by peripheral lymphocyte, neutrophil, and platelet counts, is used as an objective biomarker that reflects the balance between host inflammatory and immune response status in cancer patients. Herein, we examined the prognostic significance of SII in gastric cancer patients.

METHODS

We retrospectively reviewed data of 415 patients who underwent curative laparoscopic gastrectomy using propensity score-matched (PSM) analysis. The prognostic value of SII was compared between two groups based on SII values: low SII group (SII < 661.9) and high SII group (SII ≥ 661.9).

RESULTS

In multivariate analysis, the American Society of Anesthesiologists physical status (ASA-PS) (p < 0.001), tumor differentiation (p = 0.019), pathological stage (p = 0.046), carcinoembryonic antigen (CEA) level (p < 0.001), SII (p = 0.006), and operative procedure (p = 0.009) were independent prognostic factors of overall survival (OS) in the overall PSM cohort. The log-rank test demonstrated that patients with a high SII had significantly worse OS than did those with low SII (p = 0.002). In age-stratified subgroups analysis (< 65/≥ 65 years), multivariate analysis revealed that ASA-PS (p < 0.001), tumor differentiation (p = 0.019), CEA level (p = 0.008), SII (p = 0.013), and operative procedure (p = 0.026) were independent prognostic factors of OS in the elderly group. Similarly, elderly patients with a high SII had significantly worse OS than did those with a low SII (p = 0.009). Meanwhile, SII was not an independent prognostic factor of OS, and no significant association was observed between SII and OS in non-elderly patients.

CONCLUSIONS

SII was an independent prognostic indicator in gastric cancer patients, especially in the elderly population.

Prognostic value of systemic immune-inflammatory index in survival outcome in gastric cancer: a meta-analysis

BACKGROUND

In recent years, many studies have reported that the systemic immune-inflammatory index (SII) can be used to predict the prognosis of cancer patients; however, this finding remains controversial in gastric cancer (GC). Therefore, the purpose of this study was to systematically and comprehensively probe the prognostic role of SII in GC.

METHODS

Relevant publications were extracted from PubMed, EMBASE, Cochrane Library databases, and WANFANG DATA (Chinese database). The included studies had patients with pathologically confirmed GC and long-term follow-up data. The patient's outcome was death, recurrence, or status at the end of follow-up. The studies included randomized controlled tests, case-control studies, or cohort studies using a multivariate proportional hazard model adjusted for survival outcomes. Cochran's Q test and Higgins' I-squared statistic were performed to assess heterogeneity. Publication bias was assessed by visual inspection of a Begg's funnel plot.

RESULTS

A total of 6,925 patients in 11 studies were included. The pooled hazard ratio (HR) indicated that a higher SII value was significantly associated with worse overall survival (OS) [HR: 1.53, 95% confidence interval (CI): 1.27-1.83] and worse disease-free survival (DFS) (HR: 1.57, 95% CI: 1.24-1.97) in GC patients. In the subgroup analysis, the HR was 1.72 (95% CI: 1.51-1.95) and 1.27 (95% CI: 0.96-1.67) in the group of patients aged <59 and ≥59 years, respectively.

CONCLUSIONS

The pooled HR indicates that a higher SII in younger patients with GC predicts a poor prognosis. In elderly patients with GC, the prognostic role of SII needs further research.

The preoperative and the postoperative neutrophil-to-lymphocyte ratios both predict prognosis in gastric cancer patients

Background

Both the preoperative and postoperative neutrophil-to-lymphocyte ratios (NLRs) have been proposed to predict the long-term prognosis in some cancers, including gastric cancer. The present study investigated the prognostic impact of postoperative NLR, and its preoperative to postoperative changes, in patients with gastric cancer.

Methods

From 2009 to 2012, 1227 consecutive patients who underwent curative surgery for gastric cancer were enrolled in this study. The optimal cut-off value for the postoperative 6-month NLR was 1.7, as determined by receiver operating characteristic curve analysis. Patients were categorized into low- and high-NLR groups based on their postoperative NLR. Four additional groups (low to low, low to high, high to low, and high to high groups) were defined based on the preoperative to postoperative change in the NLR.

Results

The 5-year overall survival (OS) rates of the low- and high-NLR group were 90.7% and 83.0%, respectively (P < 0.001). The differences in OS were significant in stage I and stage III gastric cancer patients (P< 0.001 and 0.012, respectively). Postoperative NLR was an independent prognostic factor for OS (hazard ratio [HR] = 1.556; P = 0.010). The high to high NLR change was a significant predictor of OS (HR = 1.817; P = 0.003).

Conclusions

High preoperative and postoperative NLRs, and especially the persistent elevation of preoperative to postoperative NLR, were significant poor prognostic factors for OS in patients with gastric cancer.

Supplementary Information

Supplementary information accompanies this paper at 10.1186/s12957-020-02059-4.

A persistent high neutrophil-to-lymphocyte ratio predicts poor prognosis in patients with colorectal cancer undergoing resection

The prognostic role of the neutrophil-to-lymphocyte ratio (NLR) has been reported in colorectal cancer (CRC); however, its variation and corresponding predicative value in patients undergoing resection remain largely unknown. In the present study, data from 146 patients with CRC were retrospectively collected, optimal cut-off points for preoperative and postoperative low and high NLRs were set, and ΔNLR was calculated. Subsequently, patients were classified into low-low, low-high, high-low and high-high subgroups based on the cut-off points, and their progression-free survival (PFS) was determined. A Cox proportional hazard model was applied to calculate the prognostic value of all factors. The results demonstrated that both preoperative and postoperative NLRs (pre-NLR and post-NLR) but not ΔNLR could predict PFS with optimal cut-off points of 2.39 and 2.96, respectively. For predicting PFS, the pre-NLR had a sensitivity and specificity of 48.80 and 79.50%, respectively, and the post-NLR had a sensitivity and specificity of 63.20 and 56.20%, respectively. Significant differences were identified between low and high pre-NLRs in terms of histological grade (P<0.01) and tumor diameter (P<0.01); however, such differences were only found in terms of age (P<0.01) for low and high post-NLRs. The PFS of patients in the low-low, low-high, high-low and high-high subgroups was 50.30±21.36, 43.67±22.78, 31.06±25.56 and 29.87±24.13 months, respectively, and patients in the high-high subgroup had the worst PFS (P<0.01). Preoperative CEA level, invasive depth, node involvement, distant metastasis and preoperative NLR were independent prognostic factors. In conclusion, a persistently high NLR for patients with CRC undergoing resection was associated with poor prognosis.

Prognostic value of changes in neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR) for patients with cervical cancer undergoing definitive chemoradiotherapy (dCRT)

BACKGROUND

Peripheral NLR, PLR, and LMR have prognostic value in various malignancies as they are surrogates for inflammation. Recent studies have identified NLR, PLR, and LMR correlate with patient outcomes in cervical cancer patients however there remains uncertainty regarding the optimal time point for assessing these markers.

METHODS

We retrospectively reviewed cervical cancer patients underoing definitive chemoradiation therapy (dCRT). NLR, PLR, and LMR values were identified before, during, and after dCRT and both relative and absolute changes in these values were calculated and compared with patient outcmoes.

RESULTS

Ninety-nine patients who met the includsion criteria were identified. NLR values before, during, and after dCRT correlated with progression free survival (PFS) and overall survival (OS). In addition, increasing NLR after treatment was associated with worse PFS and OS. LMR before and after treatment had a positive correlation with PFS however increasing LMR during dCRT was found to have a negative correlation with PFS and OS.

CONCLUSIONS

NLR serves as a prognostic indicator irrespective of timing with response to dCRT. While higher LMR before treatment was a positive prognostic indicator, increasing LMR was found to negatively correlate with PFS and OS.

Clinicopathological and prognostic significance of platelet-lymphocyte ratio (PLR) in gastric cancer: an updated meta-analysis

BACKGROUND

Pre-treatment PLR (platelet-lymphocyte ratio) was reported to be associated with the prognosis in gastric cancer (GC), but the results remain inconclusive. This meta-analysis aimed to investigate the prognostic potential of the pre-treatment PLR in gastric cancer.

METHODS

We performed a systematic literature search in PubMed, Embase, and the Cochrane Library to identify eligible publications. The hazard ratio (HR)/odds ratio (OR) and its 95% confidence (CI) of survival outcomes and clinicopathological parameters were calculated.

RESULTS

A total of 49 studies (51 cohorts), collecting data from 28,929 GC patients, were included in the final analysis. The pooled results demonstrated that the elevated pre-treatment PLR was significantly associated with poor overall survival (OS) (HR 1.37, 95% CI 1.26-1.49, p < 0.001; I² = 79.90%, P_h < 0.001) and disease-free survival (DFS) (HR 1.52, 95% CI 1.22-1.90, p < 0.001, I² = 88.6%, P_h < 0.001). Furthermore, the patients with the elevated PLR had a higher risk of lymph node metastasis (OR = 1.17, 95% CI 1.02-1.33, p = 0.023), serosal invasion (T3+T4) (OR = 1.34, 95% CI 1.10-1.64, p = 0.003), and increased advanced stage (III+IV) (OR = 1.20, 95% CI 1.06-1.37, p = 0.004).

CONCLUSIONS

An elevated pre-treatment PLR was a prognostic factor for poor OS and DFS and associated with poor clinicopathological parameters in GC patients.

The Association between Leukocyte and Its Subtypes and Benign Breast Disease: The TCLSIH Cohort Study

Inflammation plays a crucial role in the formation of benign breast disease. Given the limited study to explore the association between leukocyte as an indicator of immune system and benign breast disease, we used data from a large cross-sectional study to investigate association between leukocyte and its subtypes and benign breast disease among women in the general population. The data were derived from baseline data of the Tianjin chronic low-grade systemic inflammation and health (TCLSIH) cohort study during 2014 and 2016. Breast thickness and nodules status were assessed by using ultrasonography. Leukocyte and its subtype counts were carried out using the automated hematology analyzer. Multiple logistic regression analysis was used to examine the association between leukocyte and its subtypes and prevalence of benign breast disease. In the present study, the prevalence of benign breast disease was 20.9%. After adjustments for potentially confounding factors, the odds ratios (95% confidence interval) for benign breast disease across lymphocyte quintiles were as follows: 1.00 (reference), 0.99 (0.82, 1.2), 0.85 (0.69, 1.04), 0.84 (0.68, 1.02), and 0.75 (0.61, 0.92) (P for trend = 0.002). An inverse association between lymphocyte counts and benign breast disease was found, but leukocyte and other subtypes have nothing to do with benign breast disease. Further prospective studies are needed to determine the findings.

Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Breast Cancer: A Propensity Score-Matching Study

Purpose: It was reported that the novel preoperative systemic immune-inflammation index (SII) can predict survival in cases of many malignant tumors. However, the prognostic significance of preoperative SII in breast cancer remains unclear. The purpose of this study was to investigate the relationship between SII and survival in breast cancer patients. Methods: Breast cancer patients (1,026) who underwent a mastectomy at Sun Yat-sen University Cancer Center were retrospectively studied. The SII was determined using the following formula: neutrophil count × platelet count/lymphocyte count. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value for SII. Propensity score matching (PSM) was applied to develop comparable cohorts of high SII group and low SII group. Results: A total of 1,026 patients were included as the primary cohort, and 894 patients were matched and regarded as the matched cohort. Patients were divided into two groups based on SII value: SII <601.7 and high SII >601.7. In the primary cohort, the 5-years overall survival (OS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS) rates for high SII group and low SII group were (85.6% vs. 91.3%, P = 0.016), (95.8% vs. 96.4%, P = 0.684), and (83.5% vs. 90.6%, P = 0.007), respectively. Univariate analysis showed that histological type, T stage, N stage, PR, HER2, Ki67, and SII all showed significant associations with OS; and histological type, T stage, N stage, and SII all showed significant associations with DMFS. Multivariate survival analysis revealed that SII can independently predict OS (P = 0.017) and DMFS (P = 0.007). Similar results were found in PSM cohort. Conclusions: Preoperative SII may be a reliable predictor of OS and DMFS in patients with operable breast cancer to provide personalized prognostication and assist in formulation of the clinical treatment strategy.