The Kinetic Changes of Systemic Inflammatory Factors during Bevacizumab Treatment and Its Prognostic Role in Advanced Non-small Cell Lung Cancer Patients

Prognostic significance of systemic immune inflammatory index in NSCLC: a meta-analysis

Aim: The aim of this meta-analysis was to investigate the relationship between the baseline systemic immune inflammatory index (SII) and prognosis in patients with NSCLC. Materials & methods: The relation between pretreatment SII and overall survival, disease-free survival, cancer-specific survival, progression-free survival and recurrence-free survival in NSCLC patients was analyzed combined with hazard ratio and 95% CI. Results: The results showed that high SII was significantly correlated with overall survival and progression-free survival of NSCLC patients, but not with disease-free survival, cancer-specific survival and recurrence-free survival. Conclusion: The study suggests that a higher SII has association with worse prognosis in NSCLC patients. PROSPERO registration number: CRD42022336270.

Monitoring trends in the absolute lymphocyte count and the neutrophil-to-lymphocyte ratio in patients with breast cancer receiving eribulin

BACKGROUND

Studies have shown that the absolute lymphocyte count (ALC) and the neutrophil-to-lymphocyte ratio (NLR) are related to the outcomes in patients with breast cancer receiving specific chemotherapies. However, the reports have focussed on the initial blood test and there is a lack of evidence or data to support that dynamic changes of ALC or NLR are associated with the patients' survival outcomes.

METHODS

We retrospectively reviewed electronic medical records from patients with breast cancer treated with eribulin from 2015 to 2019 at our institution. Blood test data were available prior to starting eribulin (baseline), and at 1, 3 and 6 months after initiating eribulin. We classified the patients into ALC and NLR high and low groups using the following cut-offs: 1000/µl for ALC and 3 for NLR. We defined ALC and NLR trends as increasing or decreasing compared with the initial data. We assessed the associations between the ALC and NLR with progression-free survival and overall survival.

RESULTS

There were 136 patients with breast cancer treated with eribulin. Of these patients, 60 had complete blood tests and follow-up data. Neither a high ALC nor a low baseline NLR was associated with the survival outcome. One month after initiating eribulin treatment, a high ALC and a low NLR were significantly associated with longer progression-free survival (p = 0.044 for each). Three months after initiating eribulin, a high ALC was significantly associated with better overall survival (p = 0.006). A high NLR at 3 or 6 months after initiating eribulin was associated with worse overall survival (p = 0.017 and p = 0.001, respectively). The ALC and NLR trends across times were not associated with survivals.

CONCLUSION

We showed that 1, 3 and 6 months after initiating eribulin, a high ALC and a low NLR may be related to the patients' survival outcomes. The ALC and NLR trends were not associated with survival. Accordingly, we believe patients who maintain a high ALC and a low NLR may have better clinical outcomes after initiating eribulin.

Radiotherapy-induced dynamic changes in the lymphocyte-to-monocyte ratio in patients with laryngeal cancer indicate poor prognosis

Aim

We hypothesized that markers of inflammation correlate with response to radiotherapy in patients with non-metastatic laryngeal cancer (LC). Our aim was to assess peripheral and local markers of inflammation including lymphocyte to monocyte ratio (LMR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), infiltrating CD8+ lymphocytes (TILsCD8), and programmed death 1 ligand (PD-L1) expression.

Methods

We performed a retrospective single-center analysis of LC patients administered definitive (R-RT) or postoperative radiotherapy (PORT). The primary endpoint was overall survival (OS) in relation to peripheral and local inflammatory markers and their dynamic changes during RT.

Results

Study group included 215 patients (R-RT, n=116; PORT, n=99). The baseline (t0) NLR and LMR were significantly correlated with OS in the R-RT group. In patients with high and low NLR at t0, the five-year OS was 33% and 56% (p=0.010) and in high and low LMR at t0, the five-year OS was 56% and 27% (p=0.003), respectively. The LMR increase during R-RT predicted better prognosis: the five-year OS in high and low LMR was 57% and 31% at t2 (after 2 weeks of RT) (p=0.015), 49% and 26% at t4 (p< 0.001), and 50% and 25% at t6 (p=0.013), respectively. Multivariable analysis shows that the worse performance status (p=0.003), the presence of nodal metastases (p=0.0001), and low baseline LMR (p=0.049) in the R-RT group, and the presence of nodal metastases (p=0.035) and completion treatment on time (p=0.042) in PORT group were associated with poor prognosis. The PD-L1 expression had no significant prognostic value in any of the examined patients.

Conclusion

The baseline LMR and its dynamic changes during R-RT and baseline NLR are independent prognostic factors in patients with nonmetastatic LC. PD-L1 expression and number of TILsCD8 have no prognostic value in R-RT and PORT group.

Integrated multi-dimensional deep neural network model improves prognosis prediction of advanced NSCLC patients receiving bevacizumab

Background

The addition of bevacizumab was found to be associated with prolonged survival whether in combination with chemotherapy, tyrosine kinase inhibitors or immune checkpoint inhibitors in the treatment landscape of advanced non-small cell lung cancer (NSCLC) patients. However, the biomarkers for efficacy of bevacizumab were still largely unknown. This study aimed to develop a deep learning model to provide individual assessment of survival in advanced NSCLC patients receiving bevacizumab.

Methods

All data were retrospectively collected from a cohort of 272 radiological and pathological proven advanced non-squamous NSCLC patients. A novel multi-dimensional deep neural network (DNN) models were trained based on clinicopathological, inflammatory and radiomics features using DeepSurv and N-MTLR algorithm. And concordance index (C-index) and bier score was used to demonstrate the discriminatory and predictive capacity of the model.

Results

The integration of clinicopathologic, inflammatory and radiomics features representation was performed using DeepSurv and N-MTLR with the C-index of 0.712 and 0.701 in testing cohort. And Cox proportional hazard (CPH) and random survival forest (RSF) models were also developed after data pre-processing and feature selection with the C-index of 0.665 and 0.679 respectively. DeepSurv prognostic model, indicated with best performance, was used for individual prognosis prediction. And patients divided in high-risk group were significantly associated with inferior PFS (median PFS: 5.4 vs 13.1 months, P<0.0001) and OS (median OS: 16.4 vs 21.3 months, P<0.0001).

Conclusions

The integration of clinicopathologic, inflammatory and radiomics features representation based on DeepSurv model exhibited superior predictive accuracy as non-invasive method to assist in patients counseling and guidance of optimal treatment strategies.

Predicting if Lung Cancer Will Relapse-The Role of Neutrophil/Lymphocyte Ratio

OBJECTIVE/BACKGROUND

Baseline neutrophil/lymphocyte ratio (NLR), a surrogate marker for systemic inflammation and immunosuppression, is a well-studied prognostic marker in non-small cell lung cancer (NSCLC). This study tests if interim NLR is prognostic in NSCLC patients in remission.

METHODS

This single-center, retrospective cohort study analyzed 131 NSCLC patients treated from 2010 to 2015 who achieved complete remission. NLR was calculated at baseline and from the first available blood sample during remission. Kaplan-Meier estimates of overall survival (OS) and time to recurrence were compared using the log-rank test for trend. Multivariable analysis was conducted using the Cox proportional hazards model.

RESULTS

Of the 131 cases, 63 had subsequently recurred at the last follow-up. The mean age was 64 ± 10 years. Patients with stage I (35%), II (24%), and III (41%) were included. Histology were adenocarcinoma (60%), squamous cell (33%), and unspecified (7%). The majority of patients were smokers. For the univariate analysis interim NLR was binned into tertiles, NLR < 2, 2-4.08, and > 4.08. Of those with an interim NLR > 4.08, prognosis and recurrence risk were higher. In the multivariable analysis, remission NLR was strongly prognostic for OS ( p < .001) as did patient's age ( p = .002), but not stage, race, sex, and baseline NLR.

CONCLUSIONS

Our study found that interim NLR, obtained in remission, was strongly prognostic for OS and recurrence.

Endothelial-Specific Molecule 1 Inhibition Lessens Productive Angiogenesis and Tumor Metastasis to Overcome Bevacizumab Resistance

The development of drug resistance in malignant tumors leads to disease progression, creating a bottleneck in treatment. Bevacizumab is widely used clinically, and acts by inhibiting angiogenesis to "starve" tumors. Continuous treatment can readily induce rebound proliferation of tumor blood vessels, leading to drug resistance. Previously, we found that the fragment crystallizable (Fc) region of bevacizumab cooperates with the Toll-like receptor-4 (TLR4) ligand to induce M2b polarization in macrophages and secrete tumor necrosis factor-α (TNFα), which promotes immunosuppression, tumor metastasis, and angiogenesis. However, the downstream mechanism underlying TNFα-mediated bevacizumab resistance requires further investigation. Our RNA-Seq analysis results revealed that the expression of endothelial cell specific molecule-1 (ESM1) increased significantly in drug-resistant tumors and promoted metastasis and angiogenesis in vitro and in vivo. Furthermore, TNFα induced the upregulation of ESM1, which promotes metastasis and angiogenesis and regulates matrix metalloprotease-9 (MMP9), vascular endothelial growth factor (VEGF), and delta-like ligand-4 molecules (DLL4). Accordingly, the curative effect of bevacizumab improved by neutralizing ESM1 with high-affinity anti-ESM1 monoclonal antibody 1-2B7 in bevacizumab-resistant mice. This study provides important insights regarding the molecular mechanism by which TNFα-induced ESM1 expression promotes angiogenesis, which is significant for elucidating the mechanism of bevacizumab drug resistance and possibly identifying appropriate biosimilar molecules.

Prognostic values of inflammatory indexes in bevacizumab-treated patients with advanced non-small-cell lung cancer

Purpose:

Inflammatory indexes, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and lymphocyte-to-monocyte ratio (LMR), have been confirmed as prognostic factors in multiple manigances. However, the prognostic value of these parameters in bevacizumab-treated non-small-cell lung cancer (NSCLC) is still not clear.

Methods:

We retrospectively studied 119 patients with advanced NSCLC who received bevacizumab treatment. The associations of pretreatment NLR, PLR, SII and LMR with progression-free survival (PFS) and overall survival (OS) were analyzed.

Results & Conclusion:

The median PFS and OS of patients with high baseline NLR, PLR and SII and low LMR were significantly decreased than those of patients with low baseline NLR, PLR and SII and high LMR. Multivariable analysis indicated that high baseline SII was independently related with inferior prognosis, and baseline LMR was an independent predictor for OS.

In this study we retrospectively studied 119 patients with advanced non-small-cell lung cancer receiving bevacizumab treatment. We found that the prognosis of the patients with high baseline neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) and low lymphocyte-to-monocyte ratio (LMR) were significantly poorer than those in patients with low baseline NLR, PLR and SII and high LMR. Multivariable analysis indicated that high baseline SII was independently related with inferior progression-free survival and overall survival, and that baseline LMR was an independent predictor for overall survival. This study suggests that we can predict the efficacy of bevacizumab by analyzing several blood cell count indexes.

Dynamic changes in the systemic immune-inflammation index predict the prognosis of EGFR-mutant lung adenocarcinoma patients receiving brain metastasis radiotherapy

BACKGROUND

The systemic immune-inflammation index (SII) has recently emerged as a predictor of survival in non-small cell lung cancer patients. There is also tight correlation between radiotherapy and immune status, and brain metastases (BM) radiotherapy is an important treatment in patients with BM from lung adenocarcinoma harboring epidermal growth factor receptor (EGFR) mutations. Hence, this study aimed to present the prognostic value of SII and its dynamic changes during BM radiotherapy in EGFR-mutant lung adenocarcinoma patients with BM.

METHODS

Patients with EGFR-mutant lung adenocarcinoma who received BM radiotherapy between November 2011 and April 2021 were included in this retrospective study. The SII was calculated using data acquired within 1 week before the start of radiation treatment and 1 week before its completion. According to the cutoff value of SII before radiation treatment determined using receiver operating characteristic curve analyses, we divided the patients into a high group and a low group. Patients were further classified into high-high, high-low, low-low, and low-high groups based on dynamic changes in SII. Prognostic values of the SII and other factors were determined using the Kaplan-Meier method, as well as univariate and multivariate Cox analysis.

RESULTS

A total of 202 patients met the inclusion criteria, and the median overall survival (OS) of the entire cohort was 36 months. According to the SII cutoff of 859.79, an SII value below this cutoff was associated with longer OS (hazard ratio 0.6653, 95% confidence interval 0.4708-0.9402, P < 0.05). The patients in the low-low group, whose SII within 1 week before the start and end of BM radiotherapy were below the cutoff, had a median OS of 55.2 months, which was significantly longer than the OS in all other groups (P < 0.05). Univariate and multivariate analyses confirmed that dynamic SII change (P = 0.032), Lung-molGPA (P < 0.001), and thoracic radiation (P = 0.048) were independently correlated with OS.

CONCLUSIONS

The SII and its dynamic change may have a prognostic value in patients with EGFR-mutant lung adenocarcinoma treated with BM radiotherapy.

Plasmatic MMP9 released from tumor-infiltrating neutrophils is predictive for bevacizumab efficacy in glioblastoma patients: an AVAglio ancillary study

We previously identified matrix metalloproteinase 2 (MMP2) and MMP9 plasma levels as candidate biomarkers of bevacizumab activity in patients with recurrent glioblastoma. The aim of this study was to assess the predictive value of MMP2 and MMP9 in a randomized phase III trial in patients with newly diagnosed glioblastoma and to explore their tumor source. In this post hoc analysis of the AVAglio trial (AVAGlio/NCT00943826), plasma samples from 577 patients (bevacizumab, n = 283; placebo, n = 294) were analyzed for plasma MMP9 and MMP2 levels by enzyme-linked immunosorbent assay. A prospective local cohort of 38 patients with newly diagnosed glioblastoma was developed for analysis of tumor characteristics by magnetic resonance imaging and measurement of plasma and tumor levels of MMP9 and MMP2. In this AVAglio study, MMP9, but not MMP2, was correlated with bevacizumab efficacy. Patients with low MMP9 derived a significant 5.2-month overall survival (OS) benefit with bevacizumab (HR 0.51, 95% CI 0.34-0.76, p = 0.0009; median 13.6 vs. 18.8 months). In multivariate analysis, a significant interaction was seen between treatment and MMP9 (p = 0.03) for OS. In the local cohort, we showed that preoperative MMP9 plasma levels decreased after tumor resection and were correlated with tumor levels of MMP9 mRNA (p = 0.03). However, plasma MMP9 was not correlated with tumor size, invasive pattern, or angiogenesis. Using immunohistochemistry, we showed that MMP9 was expressed by inflammatory cells but not by tumor cells. After cell sorting, we showed that MMP9 was expressed by CD45+ immune cells. Finally, using flow cytometry, we showed that MMP9 was expressed by tumor-infiltrating neutrophils. In conclusion, circulating MMP9 is predictive of bevacizumab efficacy and is released by tumor-infiltrating neutrophils.

Direct Comparison Between the Addition of Pembrolizumab or Bevacizumab for Chemotherapy-Based First-Line Treatment of Advanced Non-Squamous Non-Small Cell Lung Cancer Lacking Driver Mutations

Background

The addition of bevacizumab or pembrolizumab to pemetrexed-platinum chemotherapy has produced significant clinical benefits to patients with untreated, advanced non-squamous non-small cell lung cancer (NSCLC) lacking targetable genetic aberrations. However, the direct comparison between these two first-line treatments needs to be investigated.

Methods

We retrospectively investigated the medical records of 102 patients with stage IIIB~IV non-squamous NSCLC, and without sensitizing EGFR/ALK/ROS1 alterations. All patients received pembrolizumab or bevacizumab plus pemetrexed-platinum chemotherapy as the first-line treatment between December 2018 to April 2021 at Fudan University Shanghai Cancer Center. Assessments included progression-free survival (PFS), overall survival (OS), objective response rate (ORR), disease control rate (DCR), and adverse events (AEs). We also evaluated the prognostic biomarkers in the overall population and explored potential predictive biomarkers to aid the selection of optimal treatment regimens.

Results

The median PFS was 10.0 months in the pembrolizumab group and 9.2 months in bevacizumab group (HR = 1.006; P = 0.982), while the median OS was not reached in either group (HR= 1.193; P =0.714). ORR was 36.7% versus 43.4% (P = 0.548) and DCR was 89.8% versus 92.5% (P = 0.735) in the pembrolizumab and bevacizumab groups, respectively. In the overall study population, baseline lymphocyte to monocyte ratio (LMR) >1.95 (HR = 0.312, P < 0.001) was an indicator of longer PFS. The presence of baseline bone metastasis (HR = 4.107, P = 0.009), baseline lactate dehydrogenase (LDH) >300 U/L (HR = 4.300, P = 0.025) and LMR ≤1.95 (HR = 5.291, P = 0.039) were associated with inferior OS. Baseline neutrophil-to-lymphocyte ratio (NLR) ≤3.10 was predictive of significantly favorable OS in the bevacizumab combination treatment (HR = 5.073, P = 0.039). The safety profiles were generally comparable between the two groups.

Conclusions

In patients with chemotherapy-naive, advanced, non-squamous NSCLC who lack driver mutations, the efficacy and safety of pembrolizumab and bevacizumab when combined with pemetrexed-platinum were comparable. For patients with baseline NLR ≤3.10, the bevacizumab combination therapy elicited significantly better OS benefits.

The real-world efficacy and safety of anlotinib in advanced non-small cell lung cancer

PURPOSE

Anlotinib is an anti-angiogenetic multi-targeted tyrosine kinase inhibitor. This study aimed to evaluate the efficacy and safety of anlotinib in advanced non-small cell lung cancer (aNSCLC) in the real world.

METHODS

Patients with aNSCLC receiving anlotinib were enrolled in two cohorts (treatment naive and previously treated). The endpoints included progression-free survival (PFS), overall survival (OS) and anlotinib-related adverse events (ar-AEs).

RESULTS

203 patients accrued in the study. In the treatment-naïve cohort (n = 80), the PFS was 7.4 (95% confidence interval [CI] 4.1-10.7) and OS was 10.8 (95% CI 5.8-15.8) months of monotherapy group (immature survival for combination group). In previously treated cohort (n = 123), the PFS was 8.0 months (95% CI 6.1-9.9) in the combination group and 4.3 months (95% CI 2.1-6.6) in the monotherapy group (hazard ratio [HR] 0.49; 95% CI 0.29-0.83; p = 0.007), respectively. The OS was 18.5 months (95% CI 10.5-26.6) in the combination group and 7.8 months (95% CI 7.1-8.4) in the monotherapy group (HR 0.38; 95% CI 0.22-0.66; p = 0.001), respectively. The ar-AEs of grade ≥ 3 in the monotherapy and the combination groups were hypertension (9.0 and 8.7%), fatigue (8.1 and 7.6%), hand-foot syndrome (8.1 and 6.5%), diarrhea (5.4 and 8.7%), proteinuria (5.4 and 5.4%), and mucositis oral (6.3 and 8.7%).

CONCLUSION

In aNSCLC, anlotinib monotherapy has a promising efficacy in the first-line setting. It may be an option for those who are ineligible for chemotherapy; anlotinib combination therapy in a ≥ second-line setting showed manageable toxicities and encouraging efficacy, indicating a good application prospect.

TRIAL REGISTRATION

This study was retrospectively registered with ISRCTN Registry (ID ISRCTN35543977) on January 26th, 2021 and Chinese Clinical Trial Register (ChiCTR2000032265) on April 4th, 2020.

18F-RGD PET/CT and Systemic Inflammatory Biomarkers Predict Outcomes of Patients With Advanced NSCLC Receiving Combined Antiangiogenic Treatment

Background

The aim of this study was to evaluate ¹⁸F-AlF-NOTA-PRGD2 positron emission tomography/computed tomography (¹⁸F-RGD PET/CT) and serum inflammation biomarkers for predicting outcomes of patients receiving combined antiangiogenic treatment for advanced non-small cell lung cancer (NSCLC).

Methods

Patients with advanced NSCLC underwent ¹⁸F-RGD PET/CT examination and provided blood samples before treatments commenced. PET/CT parameters included maximum standard uptake value (SUVmax) and mean standard uptake value (SUVmean), peak standard uptake value (SUVpeak) and metabolic tumor volume (MTV) for all contoured lesions. Biomarkers for inflammation included pretreatment neutrophil-to-lymphocyte ratio (PreNLR), pretreatment platelet-to-lymphocyte ratio (PrePLR), and pretreatment lymphocyte-to-monocyte ratio (PreLMR). Receiver operating characteristic (ROC) curve analysis was used to describe response prediction accuracy. Logistic regression and Cox’s regression analysis was implemented to identify independent factors for short-term responses and progression-free survival (PFS).

Results

This study included 23 patients. According to ROC curve analysis, there were significant correlations between the SUVmax, SUVmean, and ¹⁸F-RGD PET/CT MTV and short-term responses (p<0.05). SUVmax was identified using logistic regression analysis as a significant predictor of treatment sensitivity (p=0.008). Cox’s multivariate regression analysis suggested that high SUVpeak (p=0.021) and high PreLMR (p=0.03) were independent PFS predictors. Combining SUVpeak and PreLMR may also increase the prognostic value for PFS, enabling us to identify a subgroup of patients with intermediate PFS.

Conclusion

¹⁸F-RGD uptake on PET/CT and serum inflammation biomarker pretreatment may predict outcomes for combined antiangiogenic treatments for advanced NSCLC patients. Higher ¹⁸F-RGD uptake and higher PreLMR also appear to predict improved short-term responses and PFS. Combining biomarkers may therefore provide a basis for risk stratification, although further research is required.

Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib

Purpose

Anlotinib is a multi-targeted tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation. It is widely used as a third-line therapy for lung cancer. However, reliable prognostic biomarkers for predicting the efficacy of anlotinib are lacking. We conducted a retrospective study to investigate the prognostic value of serological inflammatory biomarkers in anlotinib treatment.

Patients and Methods

Patients with advanced lung cancer treated with anlotinib monotherapy were enrolled. Cox regression was conducted to analyze the significant factors related to progression-free survival (PFS) and overall survival (OS). The objective response rate (ORR) was compared based on the median cut-off value of the significant inflammation index. Meanwhile, we created survival curves to compare the two groups and performed receiver operating characteristic curve analysis to assess the predictive ability of the inflammation index.

Results

Among a total of 71 patients, the median PFS was 5.5 months and the median OS was 9.5 months. The ORR and disease control rate were 16.9% and 84.5%, respectively. According to univariate and multivariate analyses, absolute neutrophil count (ANC) was the only indicator associated with both PFS (hazard ratio [HR] =1.095, 95% confidence interval [CI] 1.030–1.163, P=0.003) and OS (HR=1.057, 95% CI 1.003–1.113, P=0.037). In the group with ANC ≥4.58, the ORR was relatively lower (8.1% vs 26.5%, P=0.057), but not statistically significant; PFS and OS were relatively shorter (median PFS 5.0 [95% CI 4.4–9.6] vs 7.0 months [95% CI 4.4–5.7], P=0.024 and median OS 7.3 [95% CI 4.7–10.0] vs 17.6 months [95% CI 12.3–22.9], P < 0.001). ANC had a relatively high discriminatory ability to predict 10-month survival, with an area under the curve of 0.729, sensitivity of 82.5%, and specificity of 67.7%.

Conclusion

Elevated pre-treatment ANC was associated with a poor prognosis. Patients with lower peripheral blood levels of ANC might benefit from anlotinib.

Pretreatment Neutrophil-to-Lymphocyte Ratio Predicts Survival and Liver Toxicity in Patients With Hepatocellular Carcinoma Treated With Stereotactic Ablative Radiation Therapy

PURPOSE

The objective of this study was to determine whether pretreatment neutrophil-to-lymphocyte ratio (NLR) could predict survival outcomes and liver toxicity in hepatocellular carcinoma (HCC) patients treated with stereotactic ablative radiation therapy (SABR).

METHODS AND MATERIALS

In this retrospective study we collected pretreatment NLR of HCC patients treated with SABR between December 2007 and August 2018 and determined its association with overall survival (OS), progression-free survival, and radiation-related liver toxicity defined as an increase in the Child-Turcotte-Pugh score by ≥2 within 3 months after SABR in the absence of disease progression.

RESULTS

A total of 153 patients with a median follow-up of 13.3 months were included. Receiver operating characteristic curve analysis found that an NLR ≥2.4 was optimum (area under the curve, 0.762; 95% confidence interval [CI], 0.682-0.841, P < .001) for predicting poor 1-year OS (38.2% vs 83.6%, P < .001). Multivariable analysis demonstrated that NLR was significantly associated with OS, both as a continuous (P = .006) and a binary variable (NLR set at 2.4; P = .003). Multiple tumors (P = .003), macrovascular invasion (P = .024), extrahepatic spread (P = .002), and albumin-bilirubin score (P = .020) were also significant predictors of OS. Elevated NLR independently prognosticated poor progression-free survival (P = .016). Liver toxicity was seen in 22 evaluable patients (15.4%). Receiver operating characteristic curve analysis found NLR ≥4.0 was optimum at predicting liver toxicity (31.4% vs 10.2%, P = .005). A higher NLR (P = .049) and albumin-bilirubin score (P = .002) were independent risk factors for liver toxicity.

CONCLUSIONS

NLR is an objective and ubiquitous inflammatory marker that can predict OS and liver toxicity in HCC patients undergoing SABR. NLR could be a useful biomarker for patient risk stratification and therapeutic decision-making.

Tumor necrosis factor α inhibition overcomes immunosuppressive M2b macrophage-induced bevacizumab resistance in triple-negative breast cancer

Bevacizumab in neoadjuvant therapy provides a new hope of improved survival for patients with triple-negative breast cancer (TNBC) by targeting vascular endothelial growth factor in combination with chemotherapy, but curative effect is limited by bevacizumab’s continuous use while mechanisms remain incompletely understood. More and more researches reported that tumor-associated macrophages mediate resistance to chemotherapy and radiotherapy in various tumors. Here we developed a TNBC model resistant to bevacizumab under bevacizumab continuous administration. It was found that proportion of a specific subset of tumor-associated macrophages characterized as M2b (CD11b⁺ CD86^high IL10^high) increased and responsible for acquired resistance to bevacizumab. Then, we showed that RAW264.7 macrophages could be polarized to M2b subtype on simultaneous exposure to bevacizumab and TLR4 ligands as occurs in the context of continuous bevacizumab treatment. Concordantly, in TLR4-deleted C57BL/10ScNJNju (TLR4^lps–del) ^mut/mut mice with bevacizumab treatment model, it was verified that the M2b macrophage could be induced by Fc gamma receptor-TLR4 cross-talk. In MDA-MB-231-resistant tumor-bearing mice, the content of TNFα in serum kept going up consistent with CCL1, a chemokine of M2b macrophage. In vitro neutralizing tumor necrosis factor α (TNFα) could inhibit the tumor progression caused by M2b culture medium and tumor IDO1 expression. Therefore, we thought that TNFα is a key tumor-promoting effector molecule secreted by M2b macrophage. Accordingly, the curative effect of bevacizumab was proved to be significantly improved by neutralizing TNFα with anti-TNFα nanobody. This study is expected to provide theoretical and clinical evidence elucidating the drug resistance in patients receiving bevacizumab.

Prognostic significance of dynamic changes in lymphocyte-to-monocyte ratio in patients with head and neck cancer treated with radiotherapy: results from a large cohort study

BACKGROUND AND PURPOSE

We sought to investigate whether dynamic changes in lymphocyte-to-monocyte ratio (LMR) occurring during the course of radiotherapy (RT) may have prognostic value in patients with head and neck cancer (HNC).

MATERIALS AND METHODS

We retrospectively reviewed the clinical records of patients with HNC who underwent RT at our center between 2005 and 2013. Generalized estimating equations were used to longitudinally assess changes in LMR through the course of RT. Delta-LMR was calculated as the difference between LMR measured during treatment and baseline LMR values. Freedom from metastasis (FFM) and overall survival (OS) served as the main outcome measures.

RESULTS

A total of 1431 patients with HNC were enrolled. After a median follow-up of 9 years, 636 (44.4%) patients died and 240 (16.8%) had distant metastases. Compared with patients with low delta-LMR at two weeks, those with high delta-LMR experienced less favorable outcomes (five-year OS: 73% versus 59%, respectively, p < 0.001; five-year FFM: 87% versus 80%, respectively, p = 0.015). Similar findings were observed for delta-LMR measured at four weeks (five-year OS: 72% versus 60%, p < 0.001; five-year FFM: 86% versus 79%, respectively, p = 0.002) and six weeks (five-year OS: 72% versus 57%, p < 0.001; five-year FFM: 87% versus 79%, respectively, p = 0.002). Multivariate analysis identified delta-LMR as an independent prognostic factor for both FFM and OS.

CONCLUSION

Delta-LMR is a simple and inexpensive biomarker that may be clinically useful for predicting FFM and OS in patients with HNC treated with RT.

Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis

The magnitude of the immune response is closely associated with clinical outcome in patients with cancer. However, finding potential therapeutic targets for lung cancer in the immune system remains challenging. Here, we constructed a vital immune‐prognosis genes (VIPGs) based cluster of lung adenocarcinoma (LUAD) from IMMPORT databases and The Cancer Genome Atlas. A transcription factor regulatory network for the VIPGs was also established. The tumor microenvironment of LUAD was analyzed using the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm and single‐sample Gene Set Enrichment Analysis. The immune checkpoints and genomic alterations were explored in the different immune clusters. We identified 15 VIPGs for patients with LUAD and clustered the patients into low‐immunity and high‐immunity subtypes. The immune score, stromal score and ESTIMATE score were significantly higher in the high‐immunity subtype, whereas tumor purity was higher in the low‐immunity subtype. In addition, the immune checkpoints cytotoxic T lymphocyte associate protein‐4(CTLA4), programmed cell death protein‐1 and programmed death‐ligand were elevated in the low‐immunity subtype. The genomic results also showed that the tumor mutation burden was higher in the high‐immunity subtype. Finally, Gene Set Enrichment Analysis showed that several immune‐related gene sets, including interleukin‐2/STAT5 signaling, inflammatory response, interleukin‐6/Janus kinase(JAK)/signal transducer and activator of transcription 3 (STAT3) signaling, interferon‐gamma response and allograft rejection, were elevated in the high‐immunity subtype. Finally, high‐immunity patients exhibited greater overall and disease‐specific survival outcome compared with low‐immunity patients (log rank P = 0.013 and P = 0.0097). Altogether, here we have identified 15 immune‐prognosis genes and a potential immune subtype for patients with LUAD, which may provide new insights into the prognosis and treatment of LUAD.