Prognostic role of the lymphocyte-to-monocyte ratio in colorectal cancer

Wu, Qingbin; Hu, Tao; Zheng, Erliang; Deng, Xiangbing; Wang, Ziqiang

doi:10.1097/md.0000000000007051

Cited by 70 publications

(55 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As noted earlier, reduced lymphocyte count is a negative factor in CRC patients, therefore, low LMR should also imply worse prognosis. This has been shown in two recent meta-analysis (n = 9045 and n = 8626), in which the authors present low LMR to be associated with reduced OS and disease-free survival in localized and metastatic CRC (57,58).…”

Section: Systemic Inflammation Markers In Crcmentioning

confidence: 62%

Systemic and local inflammation in colorectal cancer

Rumba¹,

Cipkina²,

Cukure³

et al. 2019

AML

View full text Add to dashboard Cite

Background. Colorectal cancer (CRC) is the third most common cancer in the world. The cornerstone of CRC treatment is surgical resection. However, patients in the same TNM stage show different recurrence rates and survival. Of patients with a local disease without lymph node or a distant metastasis, 20–25% still develop recurrence. There is evidence that inflammatory reaction is one of the key elements in tumour development. Materials and methods. We reviewed literature on colorectal cancer and its relationships with the immune system, with special focus on local and systemic inflammatory reaction. The Pubmed and ClinicalKey databases were searched using the key words colorectal cancer, local inflammation, systemic inflammation, markers of inflammation. The relevant literature was reviewed and included in the article. Results. The immune system has two-sided relationships with cancer, so it not only performs anti-tumour activities, but can also promote tumour growth and spread. Research has shown that signs of local inflammation are associated with a better prognosis in CRC. Systemic inflammation has been associated with more aggressive behaviour and a worse prognosis for patients with several cancers, including CRC. Conclusions. Recent findings in tumour biology have improved our understanding of colorectal cancer and of the natural course of this disease. Several markers of local and systemic inflammatory reaction have been identified. The next step is to find the most accurate and applicable marker, so that this promising tool can be used in clinical practice and aid in decision making.

show abstract

Section: Systemic Inflammation Markers In Crcmentioning

confidence: 62%

Systemic and local inflammation in colorectal cancer

Rumba¹,

Cipkina²,

Cukure³

et al. 2019

AML

View full text Add to dashboard Cite

show abstract

“…Treatment strategy. (20) 56 (18) 24 (28) 66 (19) 14 (27) 47 (19) Breast conservation surgery 130 (30) 105 (30) 25 (28) 119 3111 (20) 85 (31) 45 (28) Without surgery 28 (6) 17 511 (12) 17 411 (20) 13 515 ( (25) 88 (25) 23 (26) 100 2611 (20) 75 (27) 35 ( Table II).…”

Section: Resultsmentioning

confidence: 99%

“…In turn, the MLR is the monocyte count divided by the lymphocyte count in the blood. The prognostic value of the LMR or MLR has been reported in patients with pulmonary squamous cell carcinoma (lung cancer) (25), hepatocellular carcinoma (26), colorectal cancer (27), endometrial cancer (28), pancreatic cancer (29), gastric cancer (30) and ovarian cancer (31). An elevated pre-treatment LMR was reported as a significant positive prognostic factor for patients with locally advanced BC.…”

Section: Introductionmentioning

confidence: 99%

Prognostic value of the neutrophil‑lymphocyte, platelet‑lymphocyte and monocyte‑lymphocyte ratio in breast cancer patients

Huszno

Kołosza

2019

Oncol Lett

View full text Add to dashboard Cite

The aim of the present study was to assess the blood the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR) as prognostic factors in breast cancer (BC) patients. A retrospective analysis of 436 BC patients who were treated at COI (Gliwice, Poland) between January 2005 and June 2018 was performed. The prognostic value [overall survival (OS)] of the pre-treatment PLR, NLR and MLR was assessed by univariate and multivariate analysis. The 5-year OS was lower in the NLR >2.65 compared with that in the NLR≤2.65 group (82.5 vs. 89.6%; P=0.053), and significantly lower in the subgroup of triple-negative breast cancer (TNBC; 70.3 vs. 89.3%; P=0.034) and in patients whose tumors had an estrogen receptor-negative [ER(-)] status (66.6 vs. 83.6%; P=0.018). The 5-year OS was lower in patients with PLR >190.9 compared with that in the PLR≤190.9 group (78.7 vs. 89.4%; P=0.020). A poor OS rate associated with an elevated PLR was also observed in the subgroups with TNBC (68.2 vs. 88.5%; P=0.032) and with ER(-) status tumors (57.7 vs. 83.6%, P=0.002). An elevated MLR (>0.28) was not associated with OS time (P=0.830). Multivariate analysis revealed that the NLR and PLR were insignificant negative prognostic factors, except for the subgroup of patients with ER(-) tumors, where an elevated NLR [hazard ratio (HR)=2.40; 95% confidence interval (CI): 1.20-4.80; P=0.013] and a higher PLR (HR=2.51; 95%CI: 1.23-5.14; P=0.012) were independent prognostic factors for poor OS together with lymph node metastasis ((HR=5.47; 95%CI: 2.46-12.15; P=0.0001 and HR=4.82; 95% CI: 2.15-10.78; P=0.0001), respectively. The present results revealed that an elevated NLR (>2.65) and PLR (>190.9) are associated with poor OS in BC patients. In the ER(-) subgroup of patients, an elevated NLR and PLR were significant independent prognostic factors. However, the MLR did not affect OS.

show abstract

“…There are also reports of changes in immune-cell apoptosis patterns in patients with cancer [19], suggesting global changes in hematopoietic cell populations that may reflect altered physiological states. For instance, low relative levels of circulating lymphocytes versus monocytes may be correlated with poor cancer prognosis [20]. It is possible to detect such changes in cell populations from cfDNA because cfDNA fragmentation and methylation patterns can recapitulate expected cellular epigenetic states [15,16,[21][22][23].…”

Section: There Is Growing Evidence Of Interactions Between Cancerous mentioning

confidence: 99%

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Wan

Weinberg

Liu

et al. 2018

Preprint

View full text Add to dashboard Cite

Background: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumorderived cfDNA has proven challenging because of the small proportion of cfDNA derived from tumor tissue in early-stage disease. A machine learning approach to discover signatures in cfDNA, potentially reflective of both tumor and non-tumor contributions, may represent a promising direction for the early detection of cancer.Methods: Whole-genome sequencing was performed on cfDNA extracted from plasma samples (N=546 colorectal cancer and 271 non-cancer controls). Reads aligning to protein-coding gene bodies were extracted, and read counts were normalized. cfDNA tumor fraction was estimated using IchorCNA. Machine learning models were trained using k-fold cross-validation and confounder-based cross-validation to assess generalization performance. Results:In a colorectal cancer cohort heavily weighted towards early-stage cancer (80% stage I/II), we achieved a mean AUC of 0.92 (95% CI 0.91-0.93) with a mean sensitivity of 85% (95% CI 83-86%) at 85% specificity. Sensitivity generally increased with tumor stage and increasing tumor fraction. Stratification by age, sequencing batch, and institution demonstrated the impact of these confounders and provided a more accurate assessment of generalization performance. Conclusions:A machine learning approach using cfDNA achieved high sensitivity and specificity in a large, predominantly early-stage, colorectal cancer cohort. The possibility of systematic technical and institution-specific biases warrants similar confounder analyses in other studies.Prospective validation of this machine learning method and evaluation of a multi-analyte approach are underway.

show abstract

Prognostic role of the lymphocyte-to-monocyte ratio in colorectal cancer

Abstract: Supplemental Digital Content is available in the text

Cited by 70 publications

References 36 publications

Systemic and local inflammation in colorectal cancer

Systemic and local inflammation in colorectal cancer

Prognostic value of the neutrophil‑lymphocyte, platelet‑lymphocyte and monocyte‑lymphocyte ratio in breast cancer patients

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Contact Info

Product

Resources

About