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1.
BMC Microbiol ; 24(1): 222, 2024 Jun 26.
Article in English | MEDLINE | ID: mdl-38918717

ABSTRACT

BACKGROUND: 5-Fluorouracil (5-FU) is used as an antineoplastic agent in distinct cancer types. Increasing evidence suggests that the gut microbiota might modulate 5-FU efficacy and toxicity, potentially affecting the patient's prognosis. The current experimental study investigated 5-FU-induced microbiota alterations, as well as the potential of prebiotic fibre mixtures (M1-M4) to counteract these shifts. METHODS: A pooled microbial consortium was derived from ten healthy donors, inoculated in an in vitro model of the colon, and treated with 5-FU, with or without prebiotic fibre mixtures for 72 h. Four different prebiotic fibre mixtures were tested: M1 containing short-chain galacto-oligosaccharides (sc GOS), long-chain fructo-oligosaccharides (lcFOS), and low viscosity pectin (lvPect), M2 consisting of arabinoxylan, beta-glucan, pectin, and resistant starch, M3 which was a mixture of scGOS and lcFOS, and M4 containing arabinoxylan, beta-glucan, pectin, resistant starch, and inulin. RESULTS: We identified 5-FU-induced changes in gut microbiota composition, but not in microbial diversity. Administration of prebiotic fibre mixtures during 5-FU influenced gut microbiota composition and taxa abundance. Amongst others, prebiotic fibre mixtures successfully stimulated potentially beneficial bacteria (Bifidobacterium, Lactobacillus, Anaerostipes, Weissella, Olsenella, Senegalimassilia) and suppressed the growth of potentially pathogenic bacteria (Klebsiella, Enterobacter) in the presence of 5-FU. The short-chain fatty acid (SCFA) acetate increased slightly during 5-FU, but even more during 5-FU with prebiotic fibre mixtures, while propionate was lower due to 5-FU with or without prebiotic fibre mixtures, compared to control. The SCFA butyrate and valerate did not show differences among all conditions. The branched-chain fatty acids (BCFA) iso-butyrate and iso-valerate were higher in 5-FU, but lower in 5-FU + prebiotics, compared to control. CONCLUSIONS: These data suggest that prebiotic fibre mixtures represent a promising strategy to modulate 5-FU-induced microbial dysbiosis towards a more favourable microbiota, thereby possibly improving 5-FU efficacy and reducing toxicity, which should be evaluated further in clinical studies.


Subject(s)
Colon , Dietary Fiber , Dysbiosis , Fluorouracil , Gastrointestinal Microbiome , Prebiotics , Fluorouracil/pharmacology , Dysbiosis/microbiology , Dysbiosis/chemically induced , Gastrointestinal Microbiome/drug effects , Humans , Dietary Fiber/pharmacology , Colon/microbiology , Colon/drug effects , Bacteria/drug effects , Bacteria/classification , Bacteria/isolation & purification , Bacteria/genetics , Male , Fatty Acids, Volatile/metabolism , Fatty Acids, Volatile/analysis , Female , Adult , Pectins/pharmacology
2.
Clin Exp Med ; 23(7): 3919-3933, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37027066

ABSTRACT

BACKGROUND: Gut bacteria-derived short-chain fatty acids (SCFA) and branched-chain fatty acids (BCFA) are considered to have beneficial metabolic, anti-inflammatory as well as anti-carcinogenic effects. Previous preclinical studies indicated bidirectional interactions between gut bacteria and the chemotherapeutic capecitabine or its metabolite 5-FU. This study investigated the effect of three cycles of capecitabine on fecal SCFA and BCFA levels and their associations with tumor response, nutritional status, physical performance, chemotherapy-induced toxicity, systemic inflammation and bacterial abundances in patients with colorectal cancer (CRC). METHODS: Forty-four patients with metastatic or unresectable CRC, scheduled for treatment with capecitabine (± bevacizumab), were prospectively enrolled. Patients collected a fecal sample and completed a questionnaire before (T1), during (T2) and after (T3) three cycles of capecitabine. Tumor response (CT/MRI scans), nutritional status (MUST score), physical performance (Karnofsky Performance Score) and chemotherapy-induced toxicity (CTCAE) were recorded. Additional data on clinical characteristics, treatment regimen, medical history and blood inflammatory parameters were collected. Fecal SCFA and BCFA concentrations were determined by gas chromatography-mass spectrometry (GC-MS). Gut microbiota composition was assessed using 16S rRNA amplicon sequencing. RESULTS: Fecal levels of the SCFA valerate and caproate decreased significantly during three cycles of capecitabine. Furthermore, baseline levels of the BCFA iso-butyrate were associated with tumor response. Nutritional status, physical performance and chemotherapy-induced toxicity were not significantly associated with SCFA or BCFA. Baseline SCFA correlated positively with blood neutrophil counts. At all time points, we identified associations between SCFA and BCFA and the relative abundance of bacterial taxa on family level. CONCLUSIONS: The present study provided first indications for a potential role of SCFA and BCFA during capecitabine treatment as well as implications for further research. TRIAL REGISTRATION: The current study was registered in the Dutch Trial Register (NTR6957) on 17/01/2018 and can be consulted via the International Clinical Trial Registry Platform (ICTRP).


Subject(s)
Antineoplastic Agents , Colorectal Neoplasms , Humans , Capecitabine/adverse effects , RNA, Ribosomal, 16S/genetics , Fatty Acids, Volatile/chemistry , Fatty Acids, Volatile/metabolism , Fatty Acids, Volatile/pharmacology , Fatty Acids/pharmacology , Colorectal Neoplasms/drug therapy , Bacteria/genetics , Bacteria/metabolism , Antineoplastic Agents/pharmacology
3.
NPJ Breast Cancer ; 8(1): 89, 2022 Jul 29.
Article in English | MEDLINE | ID: mdl-35906259

ABSTRACT

This clinical study explored the associations between the intestinal microbiota, chemotherapy toxicity, and treatment response in postmenopausal oestrogen receptor positive breast cancer patients.Oestrogen receptor positive postmenopausal breast cancer patients were prospectively enroled in a multicentre cohort study and treated with 4 cycles of (neo)adjuvant adriamycin, cyclophosphamide (AC) followed by 4 cycles of docetaxel (D). Patients collected a faecal sample and completed a questionnaire before treatment, during AC, during D, and after completing AC-D. Chemotherapy toxicity and tumour response were determined. Intestinal microbiota was analysed by amplicon sequencing of the 16 S rRNA V4 gene-region. In total, 44 patients, including 18 neoadjuvant patients, were included, and 153 faecal samples were collected before AC-D (n = 44), during AC (n = 43), during D (n = 29), and after AC-D treatment (n = 37), 28 participants provided all four samples. In the whole group, observed species richness reduced during treatment (p = 0.042). The abundance of Proteobacteria, unclassified Enterobacterales, Lactobacillus, Ruminococcaceae NK4A214 group, Marvinbryantia, Christensenellaceae R7 group, and Ruminococcaceae UCG-005 changed significantly over time. Patients with any grade diarrhoea during docetaxel treatment had a significantly lower observed species richness compared to patients without diarrhoea. In the small group neoadjuvant treated patients, pathologic response was unrelated to baseline intestinal microbiota richness, diversity and composition. While the baseline microbiota was not predictive for pathologic response in a rather small group of neoadjuvant treated patients in our study, subsequent shifts in microbial richness, as well as the abundance of specific bacterial taxa, were observed during AC-D treatment in the whole group and the neoadjuvant group.

4.
Clin Colorectal Cancer ; 21(2): e87-e97, 2022 06.
Article in English | MEDLINE | ID: mdl-34801414

ABSTRACT

BACKGROUND: Previous pre-clinical research has indicated that the intestinal microbiota can potentiate anti-tumour efficacy of capecitabine and that capecitabine treatment impacts intestinal microbiota composition and diversity. Using a longitudinal design, this study explores the associations between the intestinal microbiota and treatment response in patients with metastatic colorectal cancer (mCRC) during capecitabine treatment. PATIENTS AND METHODS: Patients with mCRC treated with capecitabine were prospectively enrolled in a multicentre cohort study. Patients collected a faecal sample and completed a questionnaire before, during, and after three cycles of capecitabine. Several clinical characteristics, including tumour response, toxicity and antibiotic use were recorded. Intestinal microbiota were analysed by amplicon sequencing of the 16S rRNA V4 gene-region. RESULTS: Thirty-three patients were included. After three cycles of capecitabine, six patients (18%) achieved a partial response, 25 (76%) showed stable disease, and one (3%) experienced progressive disease. Of the 90 faecal samples were collected. Microbial diversity (α-diversity), community structure (ß-diversity), and bacterial abundance on phylum and genus level were not significantly different between responders and non-responders and were not significantly affected by three cycles of capecitabine. CONCLUSION: This is the first clinical study with longitudinal intestinal microbiota sampling in mCRC patients that explores the role of the intestinal microbiota during treatment with capecitabine. Intestinal microbiota composition and diversity before, during, and after three cycles of capecitabine were not associated with response in this study population. Capecitabine did not induce significant changes in the microbiota composition and diversity during the treatment period. Individual effects of antibiotics during capecitabine treatment were observed.


Subject(s)
Colorectal Neoplasms , Gastrointestinal Microbiome , Anti-Bacterial Agents , Capecitabine/therapeutic use , Cohort Studies , Colorectal Neoplasms/drug therapy , Humans , RNA, Ribosomal, 16S/genetics
5.
Cancers (Basel) ; 13(24)2021 Dec 09.
Article in English | MEDLINE | ID: mdl-34944820

ABSTRACT

BACKGROUND: Previous preclinical and clinical research has investigated the role of intestinal microbiota in carcinogenesis. Growing evidence exists that intestinal microbiota can influence breast cancer carcinogenesis. However, the role of intestinal microbiota in breast cancer needs to be further investigated. This study aimed to identify the microbiota differences between postmenopausal breast cancer patients and controls. PATIENTS AND METHODS: This prospective cohort study compared the intestinal microbiota richness, diversity, and composition in postmenopausal histologically proven ER+/HER2- breast cancer patients and postmenopausal controls. Patients scheduled for (neo)adjuvant adriamycin, cyclophosphamide (AC), and docetaxel (D), or endocrine therapy (tamoxifen) were prospectively enrolled in a multicentre cohort study in the Netherlands. Patients collected a faecal sample and completed a questionnaire before starting systemic cancer treatment. Controls, enrolled from the National Dutch Breast Cancer Screening Programme, also collected a faecal sample and completed a questionnaire. Intestinal microbiota was analysed by amplicon sequencing of the 16S rRNA V4 gene region. RESULTS: In total, 81 postmenopausal ER+/HER2- breast cancer patients and 67 postmenopausal controls were included, resulting in 148 faecal samples. Observed species richness, Shannon index, and overall microbial community structure were not significantly different between breast cancer patients and controls. There was a significant difference in overall microbial community structure between breast cancer patients scheduled for adjuvant treatment, neoadjuvant treatment, and controls at the phylum (p = 0.042) and genus levels (p = 0.015). Dialister (p = 0.001) and its corresponding family Veillonellaceae (p = 0.001) were higher in patients scheduled for adjuvant treatment, compared to patients scheduled for neoadjuvant treatment. Additional sensitivity analysis to correct for the potential confounding effect of prophylactic antibiotic use, indicated no differences in microbial community structure between patients scheduled for neoadjuvant systemic treatment, adjuvant systemic treatment, and controls at the phylum (p = 0.471) and genus levels (p = 0.124). CONCLUSIONS: Intestinal microbiota richness, diversity, and composition are not different between postmenopausal breast cancer patients and controls. The increased relative abundance of Dialister and Veillonellaceae was observed in breast cancer patients scheduled for adjuvant treatment, which might be caused by a relative decrease in other bacteria due to prophylactic antibiotic administration rather than an absolute increase.

6.
J Cachexia Sarcopenia Muscle ; 12(6): 2007-2021, 2021 12.
Article in English | MEDLINE | ID: mdl-34609073

ABSTRACT

BACKGROUND: Cancer cachexia is characterized by a negative energy balance, muscle and adipose tissue wasting, insulin resistance, and systemic inflammation. Because of its strong negative impact on prognosis and its multifactorial nature that is still not fully understood, cachexia remains an important challenge in the field of cancer treatment. Recent animal studies indicate that the gut microbiota is involved in the pathogenesis and manifestation of cancer cachexia, but human data are lacking. The present study investigates gut microbiota composition, short-chain fatty acids (SCFA), and inflammatory parameters in human cancer cachexia. METHODS: Faecal samples were prospectively collected in patients (N = 107) with pancreatic cancer, lung cancer, breast cancer, or ovarian cancer. Household partners (N = 76) of the patients were included as healthy controls with similar diet and environmental conditions. Patients were classified as cachectic if they lost >5% body weight in the last 6 months. Gut microbiota composition was analysed by sequencing of the 16S rRNA V4 gene region. Faecal SCFA levels were quantified by gas chromatography. Faecal calprotectin was assessed with enzyme-linked immunosorbent assay. Serum C-reactive protein and leucocyte counts were retrieved from medical records. RESULTS: Cachexia prevalence was highest in pancreatic cancer (66.7%), followed by ovarian cancer (25%), lung cancer (20.8%), and breast cancer (17.3%). Microbial α-diversity was not significantly different between cachectic cancer patients (N = 33), non-cachectic cancer patients (N = 74), or healthy controls (N = 76) (species richness P = 0.31; Shannon effective index P = 0.46). Community structure (ß-diversity) tended to differ between these groups (P = 0.053), although overall differences were subtle and no clear clustering of samples was observed. Proteobacteria (P < 0.001), an unknown genus from the Enterobacteriaceae family (P < 0.01), and Veillonella (P < 0.001) were more abundant among cachectic cancer patients. Megamonas (P < 0.05) and Peptococcus (P < 0.001) also showed differential abundance. Faecal levels of all SCFA tended to be lower in cachectic cancer patients, but only acetate concentrations were significantly reduced (P < 0.05). Faecal calprotectin levels were positively correlated with the abundance of Peptococcus, unknown Enterobacteriaceae, and Veillonella. We also identified several correlations and interactions between clinical and microbial parameters. CONCLUSIONS: This clinical study provided the first insights into the alterations of gut microbiota composition and SCFA levels that occur in cachectic cancer patients and how they are related to inflammatory parameters. These results pave the way for further research examining the role of the gut microbiota in cancer cachexia and its potential use as therapeutic target.


Subject(s)
Gastrointestinal Microbiome , Pancreatic Neoplasms , Animals , Cachexia/epidemiology , Cachexia/etiology , Fatty Acids, Volatile , Humans , RNA, Ribosomal, 16S/genetics
7.
Cell Death Differ ; 28(9): 2778-2796, 2021 09.
Article in English | MEDLINE | ID: mdl-33963313

ABSTRACT

The prognosis of early breast cancer (BC) relies on cell autonomous and immune parameters. The impact of the intestinal microbiome on clinical outcome has not yet been evaluated. Shotgun metagenomics was used to determine the composition of the fecal microbiota in 121 specimens from 76 early BC patients, 45 of whom were paired before and after chemotherapy. These patients were enrolled in the CANTO prospective study designed to record the side effects associated with the clinical management of BC. We analyzed associations between baseline or post-chemotherapy fecal microbiota and plasma metabolomics with BC prognosis, as well as with therapy-induced side effects. We examined the clinical relevance of these findings in immunocompetent mice colonized with BC patient microbiota that were subsequently challenged with histo-compatible mouse BC and chemotherapy. We conclude that specific gut commensals that are overabundant in BC patients compared with healthy individuals negatively impact BC prognosis, are modulated by chemotherapy, and may influence weight gain and neurological side effects of BC therapies. These findings obtained in adjuvant and neoadjuvant settings warrant prospective validation.


Subject(s)
Breast Neoplasms/drug therapy , Gastrointestinal Microbiome/drug effects , Female , Humans , Prognosis , Prospective Studies , Treatment Outcome
8.
Am J Pathol ; 191(6): 968-982, 2021 06.
Article in English | MEDLINE | ID: mdl-33713687

ABSTRACT

Breast cancer tissue contains its own unique microbiota. Emerging preclinical data indicates that breast microbiota dysbiosis contributes to breast cancer initiation and progression. Furthermore, the breast microbiota may be a promising biomarker for treatment selection and prognosis. Differences in breast microbiota composition have been found between breast cancer subtypes and disease severities that may contribute to immunosuppression, enabling tumor cells to evade immune destruction. Interactions between breast microbiota, gut microbiota, and immune system are proposed, all forming potential targets to increase therapeutic efficacy. In addition, because the gut microbiota affects the host immune system and systemic availability of estrogen and bile acids known to influence tumor biology, gut microbiota modulation could be used to manipulate breast microbiota composition. Identifying breast and gut microbial compositions that respond positively to certain anticancer therapeutics could significantly reduce cancer burden. Additional research is needed to unravel the complexity of breast microbiota functioning and its interactions with the gut and the immune system. In this review, developments in the understanding of breast microbiota and its interaction with the immune system and the gut microbiota are discussed. Furthermore, the biomarker potential of breast microbiota is evaluated in conjunction with possible strategies to target microbiota in order to improve breast cancer treatment.


Subject(s)
Biomarkers, Tumor , Breast Neoplasms/microbiology , Microbiota , Female , Humans
9.
Best Pract Res Clin Endocrinol Metab ; 35(3): 101508, 2021 05.
Article in English | MEDLINE | ID: mdl-33648847

ABSTRACT

Cancer cachexia is a metabolic syndrome characterized by unintended weight loss and muscle wasting. It has a strong negative impact on survival. Its underlying mechanisms involve systemic inflammation and insulin resistance, which are known to be influenced by the gut microbiota. Preclinical studies support a role for the gut microbiota in cancer cachexia by demonstrating that cachectic mice display: 1) various gut microbiota composition changes; 2) increased gut permeability and translocation of pro-inflammatory microbial compounds; 3) muscle atrophy-related processes linked to gut microbiota properties; 4) positive effects of microbiota-modulating interventions. Data on the relationships between gut microbiota, insulin resistance, and hepatic/adipose tissue metabolism in cachexia models are lacking. Nevertheless, the available data and existing evidence for the impact of gut microbiota on metabolic aberrations in human obesity urge for exploration of its role in human cancer cachexia. We provide practical recommendations and discuss the challenges for such future clinical studies.


Subject(s)
Gastrointestinal Microbiome , Insulin Resistance , Microbiota , Neoplasms , Animals , Cachexia/etiology , Humans , Inflammation , Mice , Neoplasms/complications
10.
J Cachexia Sarcopenia Muscle ; 10(6): 1165-1174, 2019 12.
Article in English | MEDLINE | ID: mdl-31389674

ABSTRACT

BACKGROUND: Sarcopenia is the loss of skeletal muscle mass and function that occurs with advancing age and certain diseases. It is thought to have a negative impact on survival in cancer patients. Routine computed tomography imaging is often used to quantify skeletal muscle in cancer patients. Sarcopenia is defined by a low skeletal muscle index (SMI). Skeletal muscle radiation attenuation (SMRA) is used to define muscle quality. The primary aim of this meta-analysis was to study the association between sarcopenia or SMRA and overall survival (OS) or complications in patients with ovarian cancer. METHODS: Medline, Embase, CINAHL, and PEDro databases were searched from inception to 15 February 2019. Studies evaluating the prognostic effect of SMI and SMRA on ovarian cancer survival or surgical complications were included. Risk of bias and study quality were evaluated with the Quality in Prognosis Studies Instrument (QUIPS) according to the modified Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. RESULTS: The search strategy yielded 4262 hits in all four databases combined. Ten and eight studies were included for qualitative and quantitative analysis, respectively. Meta-analysis revealed a significant association between the SMI and OS [0.007; hazard ratio (HR): 1.11, 95% confidence interval (CI): 1.03-1.20]. SMRA was also significantly associated with OS (P < 0.001; HR: 1.14, 95% CI: 1.08-1.20). Association between the SMI and surgical complications had borderline statistical significance (0.05; HR: 1.23, 95% CI: 1.00-1.52). The risk of bias assessed with QUIPS was high in all studies. The quality of the evidence was very low. CONCLUSIONS: Whereas our meta-analysis indicated that a low SMI and low SMRA are associated with survival in ovarian cancer patients, the low quality of the source data precludes drawing definitive conclusions.


Subject(s)
Ovarian Neoplasms/mortality , Sarcopenia/diagnostic imaging , Aged , Aged, 80 and over , Female , Humans , Middle Aged , Ovarian Neoplasms/complications , Ovarian Neoplasms/diagnostic imaging , Prognosis , Sarcopenia/etiology , Survival Analysis , Tomography, X-Ray Computed
11.
Int J Mol Sci ; 20(17)2019 Aug 25.
Article in English | MEDLINE | ID: mdl-31450659

ABSTRACT

Clinical interest in the human intestinal microbiota has increased considerably. However, an overview of clinical studies investigating the link between the human intestinal microbiota and systemic cancer therapy is lacking. This systematic review summarizes all clinical studies describing the association between baseline intestinal microbiota and systemic cancer therapy outcome as well as therapy-related changes in intestinal microbiota composition. A systematic literature search was performed and provided 23 articles. There were strong indications for a close association between the intestinal microbiota and outcome of immunotherapy. Furthermore, the development of chemotherapy-induced infectious complications seemed to be associated with the baseline microbiota profile. Both chemotherapy and immunotherapy induced drastic changes in gut microbiota composition with possible consequences for treatment efficacy. Evidence in the field of hormonal therapy was very limited. Large heterogeneity concerning study design, study population, and methods used for analysis limited comparability and generalization of results. For the future, longitudinal studies investigating the predictive ability of baseline intestinal microbiota concerning treatment outcome and complications as well as the potential use of microbiota-modulating strategies in cancer patients are required. More knowledge in this field is likely to be of clinical benefit since modulation of the microbiota might support cancer therapy in the future.


Subject(s)
Gastrointestinal Microbiome , Neoplasms/therapy , Combined Modality Therapy/adverse effects , Combined Modality Therapy/methods , Disease Management , Gastrointestinal Microbiome/drug effects , Gastrointestinal Microbiome/radiation effects , Humans , Metagenome , Metagenomics/methods , Neoplasms/complications , Neoplasms/mortality , Prognosis , Treatment Outcome
12.
Leukemia ; 33(8): 1964-1977, 2019 08.
Article in English | MEDLINE | ID: mdl-30842608

ABSTRACT

Tyrosine kinase inhibitor (TKI) therapy effectively blocks oncogenic Bcr-Abl signaling and induces molecular remission in the majority of CML patients. However, the disease-driving stem cell population is not fully targeted by TKI therapy in the majority of patients, and leukemic stem cells (LSCs) capable of re-inducing the disease can persist. In TKI-resistant CML, STAT3 inhibition was previously shown to reduce malignant cell survival. Here, we show therapy-resistant cell-extrinsic STAT3 activation in TKI-sensitive CML cells, using cell lines, HoxB8-immortalized murine BM cells, and primary human stem cells. Moreover, we identified JAK1 but not JAK2 as the STAT3-activating kinase by applying JAK1/2 selective inhibitors and genetic inactivation. Employing an IL-6-blocking peptide, we identified IL-6 as a mediator of STAT3 activation. Combined inhibition of Bcr-Abl and JAK1 further reduced CFUs from murine CML BM, human CML MNCs, as well as CD34+ CML cells, and similarly decreased LT-HSCs in a transgenic CML mouse model. In line with these observations, proliferation of human CML CD34+ cells was strongly reduced upon combined Bcr-Abl and JAK1 inhibition. Remarkably, the combinatory therapy significantly induced apoptosis even in quiescent LSCs. Our findings suggest JAK1 as a potential therapeutic target for curative CML therapies.


Subject(s)
Janus Kinase 1/physiology , Leukemia, Myelogenous, Chronic, BCR-ABL Positive/pathology , Neoplastic Stem Cells/pathology , STAT3 Transcription Factor/physiology , Signal Transduction/physiology , Animals , Apoptosis , Cell Line, Tumor , Fusion Proteins, bcr-abl/antagonists & inhibitors , Fusion Proteins, bcr-abl/physiology , Humans , Janus Kinase 1/antagonists & inhibitors , Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy , Mice
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