scholarly journals IL-11RA is a Prognostic Biomarker and Correlated with Immune Infiltration in Lung Adenocarcinoma

Author(s):  
Aitao Nai ◽  
SHOAIB BASHIR ◽  
Ling Jin ◽  
Zirui He ◽  
Shuwen Zeng ◽  
...  

Abstract Background: Interleukin-11 receptor subunit alpha (IL-11RA) contributes to multiple biological processes in various tumors. However, the role of IL-11RA in Lung adenocarcinoma (LUAD) is still undetermined. The study aims to explore the role of IL-11RA in LUAD via an integrated bioinformatics analysis. Methods: TIMER, GEPIA, TCGA and HPA databases analysis were used to detect IL-11RA expression. UALCAN database was used to analysis the correlation between IL-11RA expression and clinicopathological parameters of LUAD. Kaplan-Meier Plotter, TCGA and GEO databases were used to analysis overall survival (OS) and progression-free survival (PFS) of the LUAD patients. Univariate Cox regression analysis was used to assess the prognostic value of IL-11RA in different clinical characteristics. GSEA, and TIMER were used to investigate the relationship between IL-11RA and immune infiltration.Results: The expression of IL-11RA was down-regulated in LUAD tissues. Furthermore, IL-11RA expression was closely associated with clinical stage, lymph node stage and smoking habits. The patients with lower IL-11RA expression had poorer overall survival (OS) and progression-free survival (PFS). Lower IL-11RA expression was significantly associated with its hypermethylation, and the hypermethylation of CpG site at cg14609668 and cg21504624 was obviously correlated with poorer OS. Then, we found that IL-11RA may play an important role in LUAD progression and immune regulations. Notably, High expression of IL-11RA may suppress the progression of LUAD through inhibiting cell proliferation and immune cell infiltration, especially in B cells, CD4+ T cells, and Dendritic Cell. Conclusions: Decreased IL-11RA expression correlates with poor prognosis and immune infiltration in LUAD. Our work highlights IL-11RA might be a potential biomarker for prognosis and provide a new therapeutic target for LUAD patients.

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199773
Author(s):  
Ying Cai ◽  
Yu Zhao ◽  
Qiuxin Dai ◽  
Maozhong Xu ◽  
Xin Xu ◽  
...  

Objective The albumin–globulin ratio (AGR) has been identified as a promising prognostic predictor of mortality in patients with hematological malignancies. This study investigated the prognostic significance of AGR in patients with multiple myeloma. Methods Two hundred patients diagnosed with multiple myeloma from January 2010 to October 2018 were retrospectively analyzed and followed up until December 2019. Kaplan–Meier curves and multivariate Cox regression analysis were applied to detect the prognostic value of AGR. Results The median follow-up period was 36 months. The optimal cutoff of AGR was 1.16 according to receiver operating characteristic curve analysis. High AGR was significantly correlated with better overall survival (OS) and progression-free survival (PFS). Multivariate analysis revealed that low AGR was an independent prognostic factor for worse OS (hazard ratio [HR] = 1.82, 95% confidence interval [CI] = 1.15–2.94) and PFS (HR = 1.53, 95% CI = 1.09–2.17). Conclusions AGR may represent a potential prognostic biomarker in patients with multiple myeloma. Mini Abstract: We demonstrated that high AGR was associated with a favorable overall survival and progression-free survival in patients with multiple myeloma.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3194-3194 ◽  
Author(s):  
Koji Sasaki ◽  
Nina Shah ◽  
Qaiser Bashir ◽  
Chitra M. Hosing ◽  
Uday R. Popat ◽  
...  

Abstract Introduction: High-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (auto-HCT) is the standard of care for younger patients with newly diagnosed multiple myeloma (MM). In approximately 15% of MM patients the monoclonal (M) spike consists of k or l light chains only as opposed to heavy + light chains. It remains unclear whether light chain (LC) MM has a different prognosis compared to other monoclonal protein subtypes after an auto-HCT. Methods: We retrospectively analyzed 1067 patients with MM who underwent auto-HCT between January 1, 2004 and January 1, 2011 at our institution. We evaluated the outcome of newly diagnosed patients with LCMM and compared it to patients with IgG or IgA MM, who underwent an auto-HCT after induction therapy. Primary endpoints were complete remission (CR), progression-free survival (PFS) and overall survival (OS) from the date of auto-HCT. Kaplan-Meier analysis with the log-rank test was performed for univariate comparison of survival. Cox proportional hazards regression method was used for univariate and multivariate analyses. Results: Of 1067 patients who underwent auto-SCT during the period, 223 underwent auto-SCT after relapse, and were excluded. From the remaining 844 who underwent auto-SCT in first remission, we excluded 102 patients (AL amyloidosis 60, POEMS and other plasma cell disorders 10, non-secretory MM 15, IgD 10, IgM 6 and IgE 1) from the analysis. The remaining 742 patients were divided as follows: IgA, 162 patients (22%); IgG, 444 (60%) and LC, 136 (18%). Baseline patient characteristics are described in Table 1. Patients with LCMM were younger and had a higher CR rate to induction. Median follow-up for the entire cohort after auto-HCT was 38 months (range, 0.2-87.0). Post auto-HCT, 28% with IgG/IgA MM and 38% with LCMM achieved a CR (p=0.015). Median PFS was 26.0 months and 27.7 months in IgG/IgA MM and LCMM groups, respectively (p= 0.742). Median OS was not reached and 71.1 months in IgG/IgA MM and LCMM groups, respectively (p= 0.18, Figure 1). Multivariate Cox regression analysis for PFS identified <PR after auto-SCT, non-diploid karyotype, and induction chemotherapy without thalidomide or bortezomib as adverse prognostic factors. Multivariate Cox regression analysis for OS identified presence of hypodiploidy or monosomy 13/del13, higher lactate dehydrogenase pre-transplant, lower hemoglobin pre-transplant, and <PR after auto-HCT as adverse prognostic factors. M protein subtype did not affect PFS (hazard ratio [HR], 1.040; 95% confidence interval [CI], 0.825-1.311; p=0.742) or OS (HR, 1.313; 95% CI, 0.874-1.971; p=0.190). Conclusions: Patients with LCMM have a higher CR rate after auto-HCT, but their PFS and OS were similar to patients with IgG/IgA MM. Table 1. Patient Characteristics Variables, No. (%)/median (range) IgG/IgA myelomaN= 606 Light chain myelomaN= 136 P Median age at transplant, (y) 59 (31-80) 56 (32-78) .004 Age >65 years 138 (23) 23 (17) .134 Male 357 (59) 74 (54) .337 Ethnicity .731 Caucasian 399 (66) 94 (69) African American 99 (16) 22 (16) Mixed 87 (14) 18 (13) Asian 16 (3) 2 (2) Cytogenetic abnormalities at diagnosis by conventional cytogenetics Diploid 180 (30) 36 (27) .159 Hyperdiploid 93 (15) 9 (7) .008 Hypodiploid 27 (5) 11 (8) .082 t(11;14) 4 (1) 3 (2) .092 Monosomy 13 / del 13 44 (7) 9 (7) .789 Other high-risk abnormalities 2 (0) 1 (1) .456 Induction chemotherapy Bortezomib or IMiD-based 507 (84) 123 (90) .046 Pre-transplant evaluation Bone marrow plasma cell, (%) 2 (0-71) 2 (0-50) .136 Bone marrow plasma cell >10% 90 (15) 18 (13) .735 Hemoglobin, (g/dL) 11.3 (4.4-16.0) 10.8 (6.8-15.3) .025 Lactate dehydrogenase, (IL/L) 526 (221-5062) 526 (239-2748) .522 Calcium, (mg/dL) 9.0 (7.6-10.4) 9.0 (7.5-11.0) .055 Creatinine, (mg/dL) 0.9 (0.4-12.5) 0.9 (0.5-9.8) .017 Beta-2 microglobulin (mg/dL) 2.4 (1.1-40.0) 2.8 (1.2-33.8) .001 Time from diagnosis to auto-HCT (month) 8.0 (1.9-174.4) 6.8 (2.4-44.6) .001 Pre-transplant disease status .004 ≥ CR 24 (4) 15 (11) VGPR/PR 545 (90) 109 (80) SD/PD 37 (6) 12 (9) Conditioning regimen .008 Melphalan alone 508 (84) 126 (93) Melphalan-based regimen 98 (16) 10 (7) Final response after transplant .080 ≥ CR 168 (28) 52 (38) VGPR/PR 353 (58) 70 (52) SD/PD 81 (13) 14 (10) Figure 1. a) Progression-free survival, b) Overall survival in patients with light chain myeloma compared to those with IgG/IgA myeloma Figure 1. a) Progression-free survival, b) Overall survival in patients with light chain myeloma compared to those with IgG/IgA myeloma Disclosures Shah: Celgene: Consultancy, Research Funding. Thomas:Novartis, Celgene, Acerta Pharmaceuticals, Idera Pharmaceuticals: Research Funding.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yangshan Chen ◽  
Yu Sun ◽  
Yongmei Cui ◽  
Yiyan Lei ◽  
Neng Jiang ◽  
...  

Abstract Background This study aimed to investigate the prognostic value of the potential biomarker collagen triple helix repeat containing 1 (CTHRC1) in lung adenocarcinoma (LUAD) patients. Methods A total of 210 LUAD patients diagnosed between 2003 and 2016 in the Department of Pathology of the First Affiliated Hospital of Sun Yat-sen University were included in this study. The expression of CTHRC1 and vascular endothelial growth factor (VEGF), and microvessel density (MVD, determined by CD34 immunostaining) were evaluated by immunohistochemistry in LUAD tissues. The association between the expression of these proteins and clinicopathological features or clinical outcomes was analyzed. Results Here, we confirmed that CTHRC1 expression was associated with prognosis and can serve as a significant predictor for overall survival (OS) and progression-free survival (PFS) in LUAD. Additionally, we observed that CTHRC1 expression was positively associated with tumor angiogenesis markers, such as VEGF expression (P < 0.001) and MVD (P < 0.01). Then, we performed gene set enrichment analysis (GESA) and cell experiments to confirm that enhanced CTHRC1 expression can promote VEGF levels. Based on and cox regression analysis, a predictive model that included CTHRC1, VEGF and MVD was constructed and confirmed as a more accurate independent predictor for OS (P = 0.001) and PFS (P < 0.001) in LUAD than other parameters. Conclusions These results demonstrated that high CTHRC1 expression may be closely related to tumor angiogenesis and poor prognosis in LUAD. The predictive model based on the CTHRC1 level and tumor angiogenesis markers can be used to predict LUAD patient prognosis more accurately.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ya Li ◽  
Chong Wang ◽  
Yang Gao ◽  
Liang Zhou

Background. Kidney renal clear cell carcinoma (KIRC) is the most prevalent renal malignancy. The therapeutic strategies for advanced KIRC are very few, with only sunitinib being widely approved. Mutations in the PIK3CA gene can affect tumor cell proliferation, metastasis, and patients’ survival. Methods. Bioinformatics analysis was performed to explore the expression and clinical significance of PIK3CA in KIRC. Moreover, qRT-PCR was conducted to verify the result. Results. Subgroup analyses of KIRC tissue based on gender, tumor grade, and cancer stage indicated downregulation of PIK3CA mRNA expression. The KIRC patients with high PIK3CA expression indicated a better overall survival, progression-free survival, and disease-free survival. A predictive nomogram was constructed and demonstrated that the calibration plots for the 3-year and 5-year OS rates were predicted relatively well compared with an ideal model in the TCGA KIRC cohort. The validation study revealed that downregulation of PIK3CA in KIRC tissues and low PIK3CA expression had a poor overall survival with an AUC of 0.775 in the ROC curve. Moreover, Cox regression analysis revealed that PIK3CA expression and clinical stage were independent factors affecting the prognosis of KIRC patients. PIK3CA expression was found to be significantly associated with the abundance of immune cells and immune biomarker sets. PIK3CA and associated genes were found to be mainly associated with immune response and the JAK-STAT signaling pathway. Conclusion. We identified PIK3CA as a potential biomarker for prognosis correlated with immune infiltrates in KIRC. Further studies should focus on the functions of PIK3CA in KIRC carcinogenesis.


2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.


Cancers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 778 ◽  
Author(s):  
Halil Ibrahim Toy ◽  
Didem Okmen ◽  
Panagiota I. Kontou ◽  
Alexandros G. Georgakilas ◽  
Athanasia Pavlopoulou

Several studies suggest that upregulated expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is a negative predictive biomarker for numerous cancers. Herein, we performed a meta-analysis to further investigate the prognostic value of HOTAIR expression in diverse human cancers. To this end, a systematic literature review was conducted in order to select scientific studies relevant to the association between HOTAIR expression and clinical outcomes, including overall survival (OS), recurrence-free survival (RFS)/disease-free survival (DFS), and progression-free survival (PFS)/metastasis-free survival (MFS) of cancer patients. Collectively, 53 eligible studies including a total of 4873 patients were enrolled in the current meta-analysis. Pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were calculated to assess the relationship between HOTAIR and cancer patients’ survival. Elevated HOTAIR expression was found to be significantly associated with OS, RFS/DFS and PFS/MFS in diverse types of cancers. These findings were also corroborated by the results of bioinformatics analysis on overall survival. Therefore, based on our findings, HOTAIR could serve as a potential biomarker for the prediction of cancer patient survival in many different types of human cancers.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunlei Wu ◽  
Quanteng Hu ◽  
Dehua Ma

AbstractLung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.


Neurosurgery ◽  
2021 ◽  
Author(s):  
Peng Wang ◽  
Chen Luo ◽  
Peng-jie Hong ◽  
Wen-ting Rui ◽  
Shuai Wu

Abstract BACKGROUND While maximizing extent of resection (EOR) is associated with longer survival in lower-grade glioma (LGG) patients, the number of cases remains insufficient in determining a EOR threshold to elucidate the clinical benefits, especially in IDH-wild-type LGG patients. OBJECTIVE To identify the effects of EOR on the survival outcomes of IDH-wild-type LGG patients. METHODS IDH-wild-type LGG patients were retrospectively reviewed. The effect of EOR and other predictor variables on overall survival (OS) and progression-free survival (PFS) was analyzed using Cox regression models and the Kaplan-Meier method. RESULTS A total of 94 patients (median OS: 48.9 mo; median follow-up: 30.6 mo) were included in this study. In the multivariable Cox regression analysis, postoperative residual volume was associated with prolonged OS (HR = 2.238; 95% confidence interval [CI], 1.130-4.435; P = .021) and PFS (HR = 2.075; 95% CI, 1.113-3.869; P = .022). Thresholds at a minimum EOR of 97.0% or a maximum residue of 3.0 cm3 were necessary to impact OS positively. For the telomerase reverse transcriptase (TERT)p-wild-type group, such an association was absent. Significant differences in survival existed between the TERTp-wild-type and mutant patients who underwent relatively incomplete resections (residual ≥2.0 cm3 + TERTp wild type: median OS of 62.6 mo [95% CI: 39.7-85.5 mo]; residual ≥2.0 cm3 + TERTp mutant: median OS of 20.0 mo [95% CI:14.6-25.4 mo]). CONCLUSION Our results support the core role of maximal safe resection in the treatment of IDH-wild-type LGGs, especially for IDH-wild-type + TERTp-mutant LGGs. Importantly, the survival benefits of surgery could only be elucidated at a high EOR cut-off point.


2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16231-e16231
Author(s):  
Veronica Placencio-Hickok ◽  
Marie Lauzon ◽  
Natalie Moshayedi ◽  
Michelle Guan ◽  
Sungjin Kim ◽  
...  

e16231 Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers with an estimated five-year survival rate of 10%. The dense desmoplastic stroma in PDAC contributes to its aggressive nature and treatment resistance. Among the components comprising the stroma, hyaluronan (HA) has been demonstrated to play a critical role in tumor progression and survival. Previous preliminary studies have suggested differences in HA expression in primary and metastatic foci in PDAC. However, the effects of treatment and location of HA expression as well as the role of CD44, a known receptor for HA, on HA as a biomarker signature remain unknown. Thus, we investigated the potential of HA as a biomarker in primary PDAC and metastases. Methods: PDAC tissue from primary (n = 43) and metastatic (n = 66) sites were obtained from Cedars-Sinai Medical Center along with associated clinical data. Tissue slides were stained with H&E, HA using a histochemical assay, and CD44 by immunohistochemistry. HA staining was scored according to the proportion of stromal staining at an intensity greater than the background stroma. HA status was defined as ≥ 50% staining being HA high and < 50% as being HA low. CD44 staining was recorded as an H-score (percentage of tumor cells staining multiplied by intensity of staining on a scale from 0 to 3). Associations between HA levels and the requested variables were examined with t-test, Wilcoxon rank-sum test, Chi-squared test, Fisher’s exact test, or Cox regression model where appropriate. Kaplan-Meier curves were created to assess progression free survival and overall survival. Analyses were performed using SAS 9.4 with two-sided tests and a significance level of 0.05. Results: HA score was significantly higher in primary PDAC tissue compared to sites of metastases (p = 0.0148). Within the metastases, HA score was significantly higher in liver metastasis compared to other sites of metastasis (p = 0.0478). In the liver metastasis tissue, HA score trended lower in patients with previously treated tissue compared to treatment naïve tissue (p = 0.0622). In the treatment naive liver metastasis cohort, patients with HA high status had decreased progression free survival and overall survival compared to patients with HA low status (p = 0.0032 and p = 0.0478, respectively). Using HA score and CD44 in a Cox regression model demonstrated that for every one unit increase in HA score, the risk for recurrence/progression increased by 4.4% at any fixed point in time, adjusting for CD44 score (p = 0.0049). Conclusions: HA score is variable between primary PDAC, PDAC metastatic to the liver, and PDAC metastatic to other sites. Within liver metastases, patients with HA high status had decreased progression free survival and overall survival compared to patients with HA low status. HA levels can serve as a potential biomarker to guide pancreatic cancer treatments and trial design for agents targeting the stroma.


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