scholarly journals Low CCL19 expression is associated with adverse clinical outcomes for follicular lymphoma patients treated with chemoimmunotherapy

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yu Zhou ◽  
Shasha Wang ◽  
Yunxia Tao ◽  
Haizhu Chen ◽  
Yan Qin ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Plasma Cells ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Gene Set Enrichment Analysis ◽  
Sequencing Data ◽  
First Line ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Subset Analysis

Abstract Background This study aimed to recognize the hub genes associated with prognosis in follicular lymphoma (FL) treated with first-line rituximab combined with chemotherapy. Method RNA sequencing data of dataset GSE65135 (n = 24) were included in differentially expressed genes (DEGs) analysis. Weighted gene co-expression network analysis (WGCNA) was applied for exploring the coexpression network and identifying hub genes. Validation of hub genes expression and prognosis were applied in dataset GSE119214 (n = 137) and independent patient cohort from Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (n = 32), respectively, by analyzing RNAseq expression data and serum protein concentration quantified by ELISA. The Gene Set Enrichment Analysis (GSEA), gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analysis were performed. CIBERSORT was applied for tumor-infiltrating immune cells (TIICs) subset analysis. Results A total of 3260 DEGs were obtained, with 1861 genes upregulated and 1399 genes downregulated. Using WGCNA, eight hub genes, PLA2G2D, MMP9, PTGDS, CCL19, NFIB, YAP1, RGL1, and TIMP3 were identified. Kaplan–Meier analysis and multivariate COX regression analysis indicated that CCL19 independently associated with overall survival (OS) for FL patients treated with rituximab and chemotherapy (HR = 0.47, 95% CI [0.25–0.86], p = 0.014). Higher serum CCL19 concentration was associated with longer progression-free survival (PFS, p = 0.014) and OS (p = 0.039). TIICs subset analysis showed that CCL19 expression had a positive correlation with monocytes and macrophages M1, and a negative correlation with naïve B cells and plasma cells. Conclusion CCL19 expression was associated with survival outcomes and might be a potential prognostic biomarker for FL treated with first-line chemoimmunotherapy.

scholarly journals Low CCL19 Expression is Associated With Adverse Clinical Outcomes For Follicular Lymphoma Patients Treated With Chemoimmunotherapy

2021 ◽  
Author(s):  
Yu Zhou ◽  
Shasha Wang ◽  
Yunxia Tao ◽  
Haizhu Chen ◽  
Yan Qin ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Plasma Cells ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Gene Set Enrichment Analysis ◽  
Sequencing Data ◽  
First Line ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Subset Analysis

Abstract Background: This study aimed to recognize the hub genes associated with prognosis in follicular lymphoma (FL) treated with first-line rituximab combined with chemotherapy.Method: RNA sequencing data of dataset GSE65135 (n=24) were included in differentially expressed genes (DEGs) analysis. Weighted gene co-expression network analysis (WGCNA) was applied for exploring the coexpression network and identifying hub genes. Validation of hub genes expression and prognosis were applied in dataset GSE119214 (n=137) and independent patient cohort from Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (n=32), respectively, by analyzing RNAseq expression data and serum protein concentration quantified by ELISA. The Gene Set Enrichment Analysis (GSEA), gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analysis were performed. CIBERSORT was applied for tumor-infiltrating immune cells (TIICs) subset analysis. Results: A total of 3260 DEGs were obtained, with 1861 genes upregulated and 1399 genes downregulated. Using WGCNA, eight hub genes, PLA2G2D, MMP9, PTGDS, CCL19, NFIB, YAP1, RGL1, and TIMP3 were identified. Kaplan-Meier analysis and multivariate COX regression analysis indicated that CCL19 independently associated with overall survival (OS) for FL patients treated with rituximab and chemotherapy (HR = 0.47, 95%CI [0.25-0.86], p = 0.014). Higher serum CCL19 concentration was associated with longer progression-free survival (PFS, p=0.014) and OS (p=0.039). TIICs subset analysis showed that CCL19 expression had a positive correlation with monocytes and macrophages M1, and a negative correlation with naïve B cells and plasma cells. Conclusion: CCL19 expression was associated with survival outcomes and might be a potential prognostic biomarker for FL treated with first-line chemoimmunotherapy.

scholarly journals Low CCL19 Expression Is Associated With Adverse Clinical Outcomes For Patients With Advanced Stage Follicular Lymphoma

2021 ◽  
Author(s):  
Yu Zhou ◽  
Shasha Wang ◽  
Yunxia Tao ◽  
Haizhu Chen ◽  
Yan Qin ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
Plasma Cells ◽  
Cox Regression ◽  
Progression Free Survival ◽  
Sequencing Data ◽  
First Line ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Subset Analysis ◽  
Monocytes And Macrophages

Abstract Background: This study aimed to explore the interactions and relationships of genes and recognize the hub genes associated with prognosis in follicular lymphoma (FL) treated with first-line rituximab combined with chemotherapy.Method: RNA sequencing data of dataset GSE65135 (n=24) were included in differentially expressed genes (DEGs) analysis. Weighted gene co-expression network analysis (WGCNA) was applied for exploring the coexpression network and identifying hub genes. Validation of hub genes expression and prognosis were applied in dataset GSE119214 (n=137) and patient cohort of Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (n=32), respectively, by analyzing RNAseq expression data and serum protein concentration quantified by ELISA. CIBERSORT was applied for tumor-infiltrating immune cells (TIICs) subset analysis. Results: A total of 3260 DEGs were obtained, with 1861 genes upregulated and 1399 genes downregulated. Using WGCNA and Cytoscape analysis, eight hub genes, PLA2G2D, MMP9, PTGDS, CCL19, NFIB, YAP1, RGL1, and TIMP3 were identified. Kaplan-Meier analysis and multivariate COX regression analysis indicated that CCL19 independently associated with overall survival (OS) for FL patients treated with rituximab and chemotherapy (HR = 0.47, 95%CI [0.25-0.86], p = 0.014). Higher Serum CCL19 concentration was associated with longer progression-free survival (PFS, p=0.014) and OS (p=0.039). TIICs subset analysis showed that CCL19 expression had a positive correlation with monocytes and macrophages M1, and a negative correlation with naïve B cells and plasma cells. Conclusion: CCL19 expression was associated with survival outcomes and might be a potential prognostic biomarker for FL treated with first-line immunochemotherapy.

scholarly journals Identification of a five-gene signature in association with overall survival for hepatocellular carcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11273
Author(s):  
Lei Yang ◽  
Weilong Yin ◽  
Xuechen Liu ◽  
Fangcun Li ◽  
Li Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Enrichment Score ◽  
Hub Genes ◽  
Cox Regression Analysis

Background Hepatocellular carcinoma (HCC) is considered to be a malignant tumor with a high incidence and a high mortality. Accurate prognostic models are urgently needed. The present study was aimed at screening the critical genes for prognosis of HCC. Methods The GSE25097, GSE14520, GSE36376 and GSE76427 datasets were obtained from Gene Expression Omnibus (GEO). We used GEO2R to screen differentially expressed genes (DEGs). A protein-protein interaction network of the DEGs was constructed by Cytoscape in order to find hub genes by module analysis. The Metascape was performed to discover biological functions and pathway enrichment of DEGs. MCODE components were calculated to construct a module complex of DEGs. Then, gene set enrichment analysis (GSEA) was used for gene enrichment analysis. ONCOMINE was employed to assess the mRNA expression levels of key genes in HCC, and the survival analysis was conducted using the array from The Cancer Genome Atlas (TCGA) of HCC. Then, the LASSO Cox regression model was performed to establish and identify the prognostic gene signature. We validated the prognostic value of the gene signature in the TCGA cohort. Results We screened out 10 hub genes which were all up-regulated in HCC tissue. They mainly enrich in mitotic cell cycle process. The GSEA results showed that these data sets had good enrichment score and significance in the cell cycle pathway. Each candidate gene may be an indicator of prognostic factors in the development of HCC. However, hub genes expression was weekly associated with overall survival in HCC patients. LASSO Cox regression analysis validated a five-gene signature (including CDC20, CCNB2, NCAPG, ASPM and NUSAP1). These results suggest that five-gene signature model may provide clues for clinical prognostic biomarker of HCC.

scholarly journals Identification of Molecular Subtypes and Potential Small-Molecule Drugs for Esophagus Cancer Treatment Based on m6A Regulators

2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Jianjun Li ◽  
Hongbo Zhu ◽  
Qiao Yang ◽  
Hua Xiao ◽  
Haibiao Wu ◽  
...  
Keyword(s):  
Cancer Progression ◽  
Small Molecule ◽  
Cox Regression ◽  
Molecular Subtypes ◽  
Gene Set Enrichment Analysis ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Esophagus Cancer ◽  
Small Molecule Drugs ◽  
Drug Databases

Background. Esophagus cancer (ESCA) is the sixth most frequent cancer in males, with 5-year overall survival of 15%–25%. RNA modifications function critically in cancer progression, and m6A regulators are associated with ESCA prognosis. This study further revealed correlations between m6A and ESCA development. Methods. Univariate Cox regression analysis and consensus clustering were applied to determine molecular subtypes. Functional pathways and gene ontology terms were enriched by gene set enrichment analysis. Protein-protein interaction (PPI) analysis on differentially expressed genes (DEGs) was conducted for hub gene screening. Public drug databases were employed to study the interactions between hub genes and small molecules. Results. Three molecular subtypes related to ESCA prognosis were determined. Based on multiple analyses among molecular subtypes, 146 DEGs were screened, and a PPT network of 15 hub genes was visualized. Finally, 8 potential small-molecule drugs (BMS-754807, gefitinib, neratinib, zuclopenthixol, puromycin, sulfasalazine, and imatinib) were identified for treating ESCA. Conclusions. This study applied a new approach to analyzing the relation between m6A and ESCA prognosis, providing a reference for exploring potential targets and drugs for ESCA treatment.

scholarly journals Salvage therapies for radiation-relapsed IDH-mutant astrocytoma and 1p/19q codeleted oligodendroglioma

2021 ◽  
Author(s):  
Sirui Ma ◽  
Soumon Rudra ◽  
Jian L Campian ◽  
Milan G Chheda ◽  
Tanner M Johanns ◽  
...  
Keyword(s):  
Cox Regression ◽  
Salvage Surgery ◽  
Multivariable Analysis ◽  
Progression Free Survival ◽  
Cancer Center ◽  
First Line ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Tertiary Cancer Center

Abstract Background Optimal management for recurrent IDH-mutant glioma after radiation therapy (RT) is not well-defined. This study assesses practice patterns for managing recurrent IDH-mutant astrocytoma (Astro) and 1p/19q codeleted oligodendroglioma (Oligo) after RT and surveys their clinical outcomes after different salvage approaches. Methods Ninety-four recurrent Astro or Oligo patients after RT who received salvage systemic therapy (SST) between 2001 and 2019 at a tertiary cancer center were retrospectively analyzed. SST was defined as either alkylating chemotherapy (AC) or non-alkylating therapy (non-AC). Overall survival (OS) and progression-free survival (PFS) were calculated using the Kaplan-Meier method from the start of SST. Multivariable analysis (MVA) was conducted using Cox regression analysis. Results Recurrent Oligo (n=35) had significantly higher PFS (median: 3.1 vs 0.8 years, respectively, P = 0.002) and OS (median: 6.3 vs 1.5 years, respectively, P < 0.001) than Astro (n=59). Overall, 90% of recurrences were local. Eight-three percent received AC as the first-line SST; 50% received salvage surgery before SST; approximately 50% with local failure >2 years after prior RT received reirradiation. On MVA, non-AC was associated with worse OS for both Oligo and Astro; salvage surgery was associated with improved PFS and OS for Astro; early reirradiation was associated with improved PFS for Astro. Conclusions Recurrent radiation-relapsed IDH-mutant gliomas represent a heterogeneous group with variable treatment approaches. Surgery, AC, and reirradiation remain the mainstay of salvage options for retreatment.

scholarly journals Identification of Potential Biomarkers Associated With Immune Infiltration in Papillary Renal Cell Carcinoma

2021 ◽  
Author(s):  
Ran Deng ◽  
Jianpeng Li ◽  
Hong Zhao ◽  
Zhirui Zou ◽  
Jiangwei Man ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Immune Cells ◽  
Renal Cell ◽  
Cox Regression ◽  
Papillary Renal Cell Carcinoma ◽  
Risk Groups ◽  
Gene Set Enrichment Analysis ◽  
Hub Genes ◽  
Cox Regression Analysis

Abstract Background: Immunotherapeutic approaches have recently emerged as effective treatment regimens against various types of cancer. However, the immune-mediated mechanisms surrounding papillary renal cell carcinoma (pRCC) remain unclear. This study aimed to investigate the tumor microenvironment (TME) and identify the potential immune-related biomarkers for pRCC.Methods: The CIBERSORT algorithm was used to calculate the abundance ratio of immune cells in each pRCC sample downloaded from the database UCSC Xena. Univariate Cox analysis was used to select the prognostic-related tumor-infiltrating immune cells (TIICs). Multivariate Cox regression analysis was performed to develop a signature based on the selected prognostic-related TIICs. Then, these pRCC samples were divided into low- and high-risk groups according to the obtained signature. Analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were performed to investigate the biological function of the DEGs (differentially expressed genes) between the high- and low-risk groups. The hub genes were identified using a Weighted Gene Co-Expression Network Analysis (WGCNA) and a Protein-Protein Interaction (PPI) analysis. The hub genes were subsequently validated using Kaplan-Meier survival analysis, Receiver Operating Characteristic (ROC) analysis, a nomogram prediction model, and via the Gene Expression Omnibus (GEO) database, and the Human Protein Atlas (HPA) database. Finally, we validated the correlation between the nine hub genes and immune cells using the XCELL algorithm.Results: According to our analyses, nine immune cells play a vital role in the TME of pRCC. Our analyses also obtained nine potential immune-related biomarkers for pRCC, including TOP2A, BUB1B, BUB1, TPX2, PBK, CEP55, ASPM, RRM2, and CENPF.Conclusion: In this study, our data revealed the crucial TIICs and potential immune-related biomarkers for pRCC and provided compelling insights into the pathogenesis and potential therapeutic targets for pRCC.

Rituximab Maintenance after First Line Immunochemotherapy Improves Overall Survival in Patients with Follicular Lymphoma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1781-1781 ◽  
Author(s):  
Adam Vilmar ◽  
Bente Arboe ◽  
Par Josefsson ◽  
Christian Poulsen ◽  
Jacob Haaber Christensen ◽  
...  
Keyword(s):  
Overall Survival ◽  
Follicular Lymphoma ◽  
Randomized Clinical Trials ◽  
Cox Regression ◽  
Conflicts Of Interest ◽  
Large Population ◽  
Eligible Patient ◽  
Progression Free Survival ◽  
First Line ◽  
Rituximab Maintenance

Abstract Introduction Patients with follicular lymphomas (FL) often follow an indolent disease course initiated with the wait-and-watch approach. Chemotherapy, including rituximab (R), is inevitably required in most patients though. R-maintenance is indicated for patients achieving a partial or complete remission based results from randomized clinical trials and confirmed by meta-analyses demonstrating a prolonged progression free survival. A benefit in overall survival (OS), however, has yet to be established in the first line setting. Patients and methods We completed a retrospective analysis in patients extracted from the Danish National Lymphoma Register. Eligible patient data included histopathological confirmation of FL diagnosed in the period 2000-2014 who received R-Chemotherapy as first line treatment and surviving a minimum 1 year after treatment initiation. A Cox regression model was performed, adjusted for age, gender, stage, response rates and treatment period (pre-maintenance era (year 2000-2010) vs. maintenance era (year 2011-2014)) with hazard ratio (HR) of OS as the primary endpoint. All patients were followed until June 2016. Results 1037 patients were extracted from the register. 481 patients received R-maintenance (RM-group) and 556 patients did not. The median age was 62 (26-90), 526 (51%) were male, LDH was elevated in 325 (31%) and 436 (42%) had a high FLIPI index. The median follow-up time was 6.3 years. The five year OS for all patients was 86%. A significant change in the chemotherapy regimens was observed between the two groups, since Bendamustine was more frequently used in the maintenance group. A significant lower HR was observed in the RM group with a HR of 0.63 (95% CI 0.44 - 0.88, P = 0.008). Furthermore, gender proved of significance, with a HR for men of 1.78 (95% CI 1.32-2.40, P < 0.001). Conclusions Rituximab maintenance treatment following first line immunochemotherapy in patients with follicular lymphoma improved survival in a large population based cohort of patients and consolidates this strategy as part of the standard of care in this patient group. Disclosures No relevant conflicts of interest to declare.

scholarly journals The Detection of Stem-Like Circulating Tumor Cells Could Increase the Clinical Applicability of Liquid Biopsy in Ovarian Cancer

Life ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 815
Author(s):  
Snezhanna O. Gening ◽  
Tatyana V. Abakumova ◽  
Dina U. Gafurbaeva ◽  
Albert A. Rizvanov ◽  
Inna I. Antoneeva ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cancer Progression ◽  
Cox Regression ◽  
Progression Free Survival ◽  
First Line ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Paired Samples

Stem properties allow circulating tumor cells (CTCs) to survive in the bloodstream and initiate cancer progression. We aimed to assess the numbers of stem-like CTCs in patients with ovarian cancer (OC) before treatment and during first-line chemotherapy (CT). Flow cytometry was performed (Cytoflex S (Beckman Coulter, CA, USA)) using antibodies against CD45; epithelial markers EpCAM and cytokeratin (CK) 8,18; mesenchymal vimentin (vim); and stem-like CD44, CD133 and ALDH. This study included 38 stage I–IV OC patients (median age 66 (Q1–Q3 53–70)). The CK+vim- counts were higher (p = 0.012) and the CD133+ALDHhigh counts were lower (p = 0.010) before treatment in the neoadjuvant CT group than in the adjuvant group. The patients with ascites had more CK+vim- cells before treatment (p = 0.009) and less EpCAM-vim+ cells during treatment (p = 0.018) than the patients without ascites. All the CTC counts did not differ significantly in paired samples. Correlations were found between the CK-vim+ and CD133+ALDHhigh (r = 0.505, p = 0.027) and EpCAM-vim+ and ALDHhigh (r = 0.597, p = 0.004) cells before but not during treatment. Multivariate Cox regression analysis showed that progression-free survival was longer with the presence of surgical treatment (HR 0.06 95% CI 0.01–0.48, p = 0.009) and fewer CD133+ALDHveryhigh cells (HR 1.06 95% CI 1.02–1.12, p = 0.010). Thus, CD133+ALDH+ CTCs have the greatest prognostic potential in OC among the phenotypes studied.

Real-life results from the prospective QoliXane trial of the platform for outcome, quality of life, and translational research on pancreatic cancer (PARAGON) registry.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 4625-4625
Author(s):  
Salah-Eddin Al-Batran ◽  
Ralf Dieter Hofheinz ◽  
Alexander Reichart ◽  
Claudia Pauligk ◽  
Rudolf Schlag ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pancreatic Cancer ◽  
Cox Regression ◽  
Real Life ◽  
Progression Free Survival ◽  
Response Analysis ◽  
First Line ◽  
Cox Regression Analysis ◽  
First Line Therapy

4625 Background: Gemcitabine and nab-paclitaxel (NPG) is standard first-line therapy for metastatic pancreatic cancer (mPC), but the pivotal study did not include quality of life (QoL) analyses. Methods: The QOLIXANE-PARAGON study started as a prospective, non-interventional, multicenter study conducted in Germany and transitioned into a permanent registry for pancreatic cancer patients (pts) considering all types of treatments. This report focuses on the pts enrolled into the QOLIXANE portion of the study. Pts were recruited from 95 German centers. QoL was prospectively measured via EORTC-C30 questionnaires (prior to and every month thereafter): therapy and efficacy parameters were prospectively collected. QoL and efficacy endpoints were analyzed in the intention-to-treat population (ITT). The primary endpoint was the rate of pts without deterioration of QoL/Global Health Score (QoL/GHS) at 3 months. Results: 600 pts were enrolled. Mean GHS/QoL score at baseline was low and was 46.2 (SD 22.8). Median progression-free survival was 5.85 months (95% CI, 5.23 to 6.25). Median overall survival (OS) was 8.91 months (95% CI, 7.89 to 10.19). The KM-analysis showed that 61% and 41% of pts had maintained QoL/GHS after 3 and 6 months, respectively. Median time to deterioration of QoL/GHS was 4.68 months (95% CI, 4.04 to 5.59). Mean QoL/GHS improved from 46.1 (SD 22.7) at baseline to 52.8 (SD 21.3) after 6 months. In the QoL response analysis, 34.6%, 37.4% and 28% of evaluable pts had improved, stable and worse QoL/GHS after 3 months, respectively. In the Cox regression analysis, GHS/QoL scores strongly predicted survival with a HR of 0.86 (p < 0.0001). Conclusions: QoliXane the largest study on QoL of mPC. It shows that time to deterioration of QoL is short but that a relevant group of mPC in first line have improved or maintained QoL after 3 and 6 months and that QoL is a predictor of pts outcome. Clinical trial information: NCT02691052 .

Bevacizumab associated calcifications might be a prognostic marker in patients with metastatic colorectal cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16108-e16108
Author(s):  
Yuwen Zhou ◽  
Qiu Meng
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Prognostic Marker ◽  
Cox Regression ◽  
Objective Response ◽  
Progression Free Survival ◽  
Hazard Ratio ◽  
First Line ◽  
Cox Regression Analysis ◽  
First Line Therapy

e16108 Background: Cetuximab associated calcifications is a positive predictive factor in metastatic colorectal cancer (mCRC). In patients with glioblastoma, bevacizumab-induced calcifications are also related to a better prognosis. However, tumor calcifications are rarely recognized in mCRC patients treated with bevacizumab. This study was to investigate the correlation between clinical outcome and calcification in mCRC who received bevacizumab and chemotherapy as the first-line treatment. Methods: A single retrospective cohort study was conducted with all diagnosed mCRC cases who received bevacizumab and chemotherapy as the first-line therapy in our hospital from January 2016 to January 2019. Clinical variables were retrieved from medical records and tumor calcification were evaluated independently by radiologists on the basis of computed tomography scans. A univariate and multivariate COX regression analysis was performed to evaluate the association between calcification and outcome. Results: 159 patients with an average age of 59.0 years were included. Median follow-up was 29.6 months. Among all enrolled patients, 31 had tumor calcification [31/159 (19.5%)]. The median overall survival (OS) and progression-free survival (PFS) was significantly better in patients with calcification than those without calcification (28.0 vs. 24.9 months, p= 0.024; 12.0 vs. 10.0 months, p= 0.026). A higher objective response rate (61.3% vs. 50.0%) was also observed in calcification group. On multivariate analysis, tumor calcification was independently associated with OS (hazard ratio 1.799, 95% CI 1.002–3.230) and PFS (hazard ratio 1.609, 95% CI 1.013–2.557). Conclusions: Tumor calcification was independently associated with improved prognosis in colorectal cancer. It might be a potential prognostic marker.

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