| Literature DB >> 32754708 |
Georgia M Carroll1,2,3, Grace L Burns3,4, Joel A Petit1,2,3, Marjorie M Walker2,3, Andrea Mathe3,4, Stephen R Smith1,2, Simon Keely3,4, Peter G Pockney1,2.
Abstract
BACKGROUND: Colorectal cancer is the third most common cancer worldwide. Almost half of those that have a potentially curative resection go on to develop metastatic disease. A recognized risk for recurrence is perioperative systemic inflammation and sepsis. Neutrophil extracellular traps have been implicated as promotors of tumor progression. We aimed to examine the evidence in the literature for an association between neutrophil extracellular traps and postoperative metastasis in colorectal cancer.Entities:
Year: 2020 PMID: 32754708 PMCID: PMC7391903 DOI: 10.1016/j.sopen.2019.12.005
Source DB: PubMed Journal: Surg Open Sci ISSN: 2589-8450
Fig. 1A, NETosis is induced by surgical stress and postoperative infection, and NETs are released into systemic circulation; (B) concurrently, there are circulating viable tumor cells being shed by the primary tumor, (C) circulating tumor cells and circulating NETs interact, (D) tumor cells are trapped by NETs and embedded on endothelium in sites distant to the original tumor, and (E) metastatic deposits develop.
Fig. 2PRISMA flow diagram.
Inclusion and exclusion criteria
| Inclusion | Exclusion |
|---|---|
| Main topic NETs in sepsis, infection, bacteremia, and surgery | Neutropenic sepsis |
Summary of included studies
| Study | Study design | Findings |
|---|---|---|
| Albrengues et al [ | In vivo (mouse) | Transition of murine breast cancer cells to G1/S phase of cell cycle is neutrophil dependent, and NETs inhibition or DNase I prevented or decreased LPS-induced “awakening” in dormant murine and human breast cancer cells. |
| Canna et al [ | Observational (human) | Elevated CRP and low percentage tumor volume of CD4 + T-lymphocytes both predict poor cancer-specific survival in patients undergoing potentially curative resection for CRC. |
| Carruthers et al [ | Observational (human) | R status and NLR are associated with overall and disease-free survival and time to local recurrence in patients having preoperative chemoradiotherapy for T3 or T4 rectal cancer. Neutrophil count, lymphocyte count, PLR, CEA, and albumin did not show associations with any outcomes. |
| Chan et al [ | Observational (human) | Low preoperative and postoperative NLR predicts better median survival than high preoperative ratio, or change from preoperative low levels to postoperative high ratio in patients undergoing curative resection for CRC. |
| Cools-Lartigue et al [ | In vivo (mouse) | Intravascular NETs are generated and are associated with trapping of circulating tumor cells. NET trapping is associated with increased metastatic disease. This is decreased by NET inhibitors (DNAse or neutrophil elastase inhibitor). |
| Crozier et al [ | Observational (human) | Preoperative CRP, but not CRP on POD2, predicts poor cancer-specific survival in patients undergoing potentially curative resection for CRC. |
| Crozier et al [ | Observational (human) | Emergency presentation and elevated mGPS were predictive of poor cancer-specific survival in patients undergoing potentially curative resection for CRC. |
| Inoue et al [ | Observational (human), in vivo (mouse), in vitro | Albumin can modulate intravascular NETosis, and mice either deficient in albumin or treated with iodocetamine (inhibitor of albumin free thiols) had increased NETosis, which promoted lung predominant metastases after injection of head and neck cancer cells. |
| Kersten et al [ | Observational (human) | High preoperative CRP correlates with poorer cancer-specific survival in all stages of CRC in patients undergoing any surgery for CRC. Excludes emergency presentation and any patients with infection. |
| Kressner et al [ | Observational (human) | There is association between perineal infection and local recurrence but not abdominal sepsis and recurrence in patients undergoing potentially curative resection for rectal cancer. |
| Laurent et al [ | Observational (human) | Postoperative morbidity is associated with increased recurrence in patients undergoing potentially curative liver resection for CRC liver metastases. |
| Mallappa et al [ | Observational (human) | Preoperative NLR > 5 is associated with CRC recurrence in patients undergoing potentially curative resection for CRC. |
| McDonald et al [ | In vivo (mouse) | NETs are released during endotoxemia and sepsis. NETs ensnare bacteria. Bacterial trapping is increased by 4-fold in the presence of NETs. |
| McMillan et al [ | Observational (human) | Increased cancer stage and preoperative and postoperative CRP were associated with overall and cancer-specific survival in patients undergoing potentially curative resection for CRC. |
| Mori et al [ | Observational (human) | Higher preoperative CRP was associated with poorer cancer-specific survival in patients undergoing potentially curative resection for CRC, but NLR and PLR were not predictive on multivariate analysis. Low levels of infiltrating CD8 + T-cells in CRC tissue were a predictor of poorer cancer-specific survival. |
| Najmeh et al [ | In vivo (mouse) | In a murine model of intra-abdominal sepsis, beta-1 integrin expression on cancer cells and NETs facilitates adhesion. This is partially diminished when treated with DNAse 1. |
| Neal et al [ | Observational (human) | High preoperative NLR and derived NLR, but not PLR or LMR, are predictors of shortened overall and cancer-specific survival in patients undergoing potentially curative liver resection for CRC metastases. |
| Park et al [ | Observational (human), in vivo (mouse), in vitro | Breast cancer cells can promote NETosis in the absence of infection in mice. GCSF primes neutrophils for NETosis. NETs deposition in human primary and metastatic breast cancer tissue is associated with aggressive tumor subtypes. Treatment with DNase I–coated nanoparticles decreases metastatic tumor burden in mice. |
| Pilsczek et al [ | Observational (human) | CEA but not PLR or NLR is an independent predictor of 5-y overall and disease-free survival in patients undergoing laparoscopic resection of stage I–III rectal cancer. |
| Portale et al [ | In vitro | A new mechanism of NET formation was observed. Neutrophils produce NETs in response to |
| Proctor et al [ | Observational (human) | Elevated preoperative mGPS, NLR, PLR, prognostic index, and prognostic nutrition index were predictive of reduced cancer-specific survival in cancer patients with a range of malignancies. mGPS and prognostic index were predictive of reduced cancer-specific survival in CRC. |
| Richards et al [ | Observational (human) | Tumor necrosis, high preoperative mGPS, low inflammatory infiltrate in CRC tissue, and cancer stage were associated with reduced cancer-specific survival in patients undergoing potentially curative resection of CRC. Tumor necrosis was associated with an increase in mGPS and reduced inflammatory infiltrate. |
| Richardson et al [ | Observational (human) with ex vivo analysis | Neutrophils isolated from CRC patients having surgery and subsequently stimulated by fMLP, LPS and IL-8 have reduced NETs formation, inhibition of apoptosis, and an increase in phagocytosis in response to surgery. |
| Richardson et al [ | Observational (human) with ex vivo analysis | NETs levels from neutrophils isolated and stimulated from aforementioned CRC patient cohort and from a cohort of healthy controls are higher from CRC patients, and NETs levels from neutrophils isolated preoperatively may be associated with adverse patient outcomes. |
| Roxburgh et al [ | Observational (human) | High preoperative mGPS and low peritumoral inflammatory infiltrate are associated with poor cancer-specific survival in patients undergoing potentially curative resection for CRC. |
| Song et al [ | Observational (human) | NLR is superior to LMR, PLR, and prognostic nutritional index as independent predictor of overall survival and cancer-specific survival in 1,744 patients having curative resection of CRC. |
| Thalin et al [ | Observational (human) | In a cohort of patients with advanced incurable cancer, NETs were significantly increased in cancer patients compared to groups of severely ill patients and healthy controls |
| Tohme et al [ | Mixed in vivo (mouse) and observational (human) | Increased postoperative NETosis was associated with > 4-fold reduction in disease-free survival in patients undergoing potentially curative liver resection for CRC liver metastases. In a murine model of liver I/R injury, increased NETosis correlated with increased metastatic disease. This was reduced on treatment with NET inhibitors. |
| Turner et al [ | Observational (human) | Reversal of a preoperatively high NLR following resection of primary tumor was associated with increased overall survival in patients with metastatic CRC. |
| Yipp et al [ | In vivo | In a murine model of superficial bacterial skin infection, NETosis (via a non–cell death pathway) was confined to the local environment. The same was shown in humans. |
Summary of Glasgow Royal Infirmary studies
| Study | Year | Patient no. | Years incl. | Additional incl. & excl. criteria | Inflammatory marker | Measurement intervals | Minimum follow-up |
|---|---|---|---|---|---|---|---|
| McMillan et al [ | 2003 | 174 | 1993–1998 | Curative resection of CRC, staged by Dukes | CRP | Preoperative | Unclear |
| Canna et al [ | 2005 | 147 | 1997–2001 | Curative resection of Dukes B or C CRC | CRP | Preoperative | 30 mo |
| Carruthers et al [ | T3 and T4 borderline or unresectable rectal cancer having preoperative chemoradiotherapy. | NLR, PLR, albumin, CEA | Preradiotherapy | 0.5 mo | |||
| Crozier et al [ | 2007 | 180 | 1999–2004 | Curative resection of CRC. Excludes any emergency cases, preoperative radiotherapy, clinical infection, and inflammatory conditions | CRP | Preoperative | 22 mo |
| Crozier et al [ | 2009 | 188 | 1999–2006 | Curative resection of CRC, preoperative CRP and albumin available | mGPS | Preoperative | 12 mo |
| Roxburgh et al [ | 2009 | 287 | 1997–2004 | Curative resection of CRC. Excludes emergency presentation, infection, chronic inflammatory conditions, preoperative radiotherapy | GPS | Preoperative | 34 mo |
| Proctor et al [ | 2011 | 27,031 | 2000–2007 | Patients with any cancer, as identified in the Scottish Cancer Registry that had blood tests recorded any time before diagnosis | CRP, albumin, white cell count (WCC), neutrophils, LMR, PLR, mGPS, NLR, PI | Variable | Unclear |
| Richards et al [ | 2012 | 343 | 1997–2007 | Stage I–III CRC | mGPS | Preoperative | 45 mo |
| Section/topic | # | Checklist item | Reported on page # |
|---|---|---|---|
| TITLE | |||
| Title | 1 | Identify the report as a systematic review, meta-analysis, or both. | 1; title page of manuscript |
| ABSTRACT | |||
| Structured summary | 2 | Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions and implications of key findings; systematic review registration number. | 2 (manuscript) |
| INTRODUCTION | |||
| Rationale | 3 | Describe the rationale for the review in the context of what is already known. | 3–5 (manuscript) |
| Objectives | 4 | Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS). | 5 |
| METHODS | |||
| Protocol and registration | 5 | Indicate if a review protocol exists, if and where it can be accessed (eg, Web address), and, if available, provide registration information including registration number. | 5 |
| Eligibility criteria | 6 | Specify study characteristics (eg, PICOS, length of follow-up) and report characteristics (eg, years considered, language, publication status) used as criteria for eligibility, giving rationale. | 6, |
| Information sources | 7 | Describe all information sources (eg, databases with dates of coverage, contact with study authors to identify additional studies) in the search and date last searched. | 5 |
| Search | 8 | Present full electronic search strategy for at least one database, including any limits used, such that it could be repeated. | 5; see PROSPERO page for search strategy. |
| Study selection | 9 | State the process for selecting studies (ie, screening, eligibility, included in systematic review, and, if applicable, included in the meta-analysis). | 5–6, |
| Data collection process | 10 | Describe method of data extraction from reports (eg, piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators. | N/A; “No data extraction was performed for meta-analysis given the nature of this systematic review.” |
| Data items | 11 | List and define all variables for which data were sought (eg, PICOS, funding sources) and any assumptions and simplifications made. | N/A; “No data extraction was performed for meta-analysis given the nature of this systematic review.” |
| Risk of bias in individual studies | 12 | Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis. | 6, |
| Summary measures | 13 | State the principal summary measures (eg, risk ratio, difference in means). | N/A |
| Synthesis of results | 14 | Describe the methods of handling data and combining results of studies, if done, including measures of consistency (eg, | N/A |
| Risk of bias across studies | 15 | Specify any assessment of risk of bias that may affect the cumulative evidence (eg, publication bias, selective reporting within studies). | N/A given heterogeneity of study type and topic |
| Additional analyses | 16 | Describe methods of additional analyses (eg, sensitivity or subgroup analyses, meta-regression), if done, indicating which were prespecified. | N/A |
| RESULTS | |||
| Study selection | 17 | Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a flow diagram. | 6, |
| Study characteristics | 18 | For each study, present characteristics for which data were extracted (eg, study size, PICOS, follow-up period) and provide the citations. | |
| Risk of bias within studies | 19 | Present data on risk of bias of each study and, if available, any outcome level assessment (see item 12). | |
| Results of individual studies | 20 | For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each intervention group (b) effect estimates and confidence intervals, ideally with a forest plot. | N/A |
| Synthesis of results | 21 | Present results of each meta-analysis done, including confidence intervals and measures of consistency. | N/A |
| Risk of bias across studies | 22 | Present results of any assessment of risk of bias across studies (see Item 15). | N/A given heterogeneity of study type and topic |
| Additional analysis | 23 | Give results of additional analyses, if done (eg, sensitivity or subgroup analyses, meta-regression [see item 16]). | N/A |
| DISCUSSION | |||
| Summary of evidence | 24 | Summarize the main findings including the strength of evidence for each main outcome; consider their relevance to key groups (eg, healthcare providers, users, and policy makers). | 18–22 |
| Limitations | 25 | Discuss limitations at study and outcome level (eg, risk of bias), and at review-level (eg, incomplete retrieval of identified research, reporting bias). | 18–22 |
| Conclusions | 26 | Provide a general interpretation of the results in the context of other evidence, and implications for future research. | 22–23 |
| FUNDING | |||
| Funding | 27 | Describe sources of funding for the systematic review and other support (eg, supply of data); role of funders for the systematic review. | Title page disclosures |
From Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. doi:10.1371/journal.pmed1000097
For more information, visit: www.prisma-statement.org.
| # | Searches |
|---|---|
| 1 | Neutrophil extracellular traps |
| 2 | Neutrophil extracellular trap |
| 3 | Sepsis |
| 4 | Bacterial infections/or intra-abdominal infections/or pelvic infection/or bacteremia/or shock, septic |
| 5 | Systemic inflammatory response syndrome |
| 6 | DNA, Mitochondrial |
| 7 | 1 or 2 or 3 or 4 or 5 or 6 |
| 8 | Colorectal surgery/or general surgery/or surgical oncology/or thoracic surgery/or urology |
| 9 | Neoplasms |
| 10 | Resection |
| 11 | 8 and 9 |
| 12 | 9 and 7 |
| 13 | 10 and 7 |
| 14 | 11 or 12 or 13 |
| 15 | 14 and 2000:2018 limit |
| Quality assessment of included studies | |||
|---|---|---|---|
| Study | Publisher (year) | Quality assessment tool | Score |
| Albrengues et al [ | ARRIVE | 16/38 | |
| Canna et al [ | STROBE | 20/30 | |
| Carruthers et al [ | STROBE | 23/30 | |
| Chan et al [ | STROBE | 23/30 | |
| Cools-Lartigue et al [ | ARRIVE | 18/38 | |
| Crozier et al [ | STROBE | 19/30 | |
| Crozier et al [ | STROBE | 20/30 | |
| Inoue et al [ | ARRIVE | 18/38 | |
| Kersten et al [ | STROBE | 27/30 | |
| Kressner et al [ | STROBE | 20/30 | |
| Laurent et al [ | STROBE | 17/30 | |
| Mallappa et al [ | STROBE | 22/30 | |
| McDonald et al [ | ARRIVE | 17/38 | |
| McMillan et al [ | STROBE | 21/30 | |
| Mori et al [ | STROBE | 22/30 | |
| Najmeh et al [ | STROBE | 13/30 | |
| Neal et al [ | STROBE | 23/30 | |
| Park et al [ | ARRIVE | 22/38 | |
| Pilsczek et al [ | N/A | N/A | |
| Portale et al [ | STROBE | 25/30 | |
| Proctor et al [ | STROBE | 20/30 | |
| Richards et al [ | STROBE | 24/30 | |
| Richardson et al [ | 22/30 | ||
| Richardson et al [ | 23/30 | ||
| Roxburgh et al [ | STROBE | 25/30 | |
| Song et al [ | STROBE | 27/30 | |
| Thalin et al [ | STROBE | 23/30 | |
| Tohme et al [ | STROBE | 19/30 | |
| Turner et al [ | STROBE | 24/30 | |
| Yipp et al [ | ARRIVE | 14/38 | |