| Literature DB >> 29844701 |
Xi Yang1, Miao Da2, Wenyuan Zhang3, Quan Qi4, Chun Zhang5, Shuwen Han4.
Abstract
Cervical cancer is a common malignant cancer among women worldwide. Changes in the vaginal microecological environment lead to multiple gynecological diseases, including cervical cancer. Recent research has shown that Lactobacillus may play an important role in the occurrence and development of cervical cancer. This review explores the role of Lactobacillus in cervical cancer. A total of 29 articles were included after identification and screening. The pertinent literature on Lactobacillus in cervical cancer from two perspectives, including clinical studies and experimental studies, was analyzed. An association network for the mechanism by which Lactobacillus induces cervical cancer was constructed. In addition, we provide direction and insight for further research on the role of Lactobacillus in cervical cancer.Entities:
Keywords: CIN; Lactobacillus; cervical cancer; microorganism
Year: 2018 PMID: 29844701 PMCID: PMC5962305 DOI: 10.2147/CMAR.S165228
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Figure 1Literature search strategy.
Notes: Databases including PubMed, Embase, and Cochrane were searched for literature published up to January 10, 2018. A total of 29 studies including 17 clinical studies and 14 experimental studies were included after identification and screening.
Abbreviation: CIN, cervical intraepithelial neoplasia.
Clinical studies of Lactobacillus in cervical cancer
| Number | Year | Authors | Number of women enrolled | Race or region | Subgenera of | Methods | Diseases | Findings | Reference |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 2016 | Piyathilake et al | Patients with CIN1 (n=90), CIN2 (n=208), and CIN3 (n=132) | Birmingham, AL, USA | 16S rRNA sequencing | CIN | The cervical mucosal CT dominated by | ||
| 2 | 2016 | Seo et al | Patients with CIN (n=65) and control (n=72) | South Korea | 16S rRNA gene sequencing, a food-frequency questionnaire and multivariable logistic regression analysis | CIN | Diet characterized by | ||
| 3 | 2015 | Mitra et al | Control (n=20), LSIL (n=52), HSIL (n=92), and cervical cancer (n=5). | Caucasian, Asian, and Black | 16S rRNA gene sequencing | LSIL, HSIL, and ICC | Increasing disease severity was associated with decreasing relative abundance of | ||
| 4 | 2015 | Oh et al | Women (n=70) and control (n=50) | South Korea | 16S rRNA gene sequencing | CIN | A predominance of | ||
| 5 | 2015 | Mitra et al | Control (n=20), LSIL (n=52), HSIL (n=92), and cancer (n=5). | Caucasian, Asian, and Black. | 16S rRNA gene sequencing | CIN | Women with CIN have a more diverse | ||
| 6 | 2015 | Kwasniewski Wojciech et al | Women | European | 16S rRNA gene sequencing | LSIL and HSIL | |||
| 7 | 2014 | Silva et al | Patients with evolution (214) and without evolution (n=1970) | Brazilian; Gynecology and Obstetrics Department at a public tertiary-level university hospital between 1995 and 2000 | Retrospective study and multivariable logistic regression analysis | Intraepithelial lesions; cervical cancer | |||
| 8 | 2014 | Kawana et al | Patients with CIN3 (n=17) | Japanese women; Japan | ELISPOT assay | CIN | Oral administration of an E7-expressing | ||
| 9 | 2013 | Rocha et al | Patients with preneoplastic and neoplastic cervical uterine lesions (n=625) | Public health care services in Divinopolis county, Minas Gerais state, Brazil | PCR | Preneoplastic and neoplastic cervical uterine lesions | |||
| 10 | 2013 | Dareng et al | Women (n=278) | Nigerian; Abuja, Nigeria | 16S rDNA gene sequencing, Roche Linear Array(R) HPV genotyping test and logistic regression models | Women with or without HR-HPV infection | Low relative abundance of | ||
| 11 | 2012 | Ou et al | Women were randomized to oral lactobacilli (n=40) and oral placebo (n=40) | Chinese; Taiwan, China | Lactobacilli | HPV test, pap smear, and vaginal gram stain; randomized, double-blind, placebo- controlled study | High-risk HPV infection; CIN | Comparing with women in oral lactobacilli group, women in the placebo group had a significant higher percentage of subsequent CIN lesion during follow-up | |
| 12 | 1993 | Okawa et al | Patients with stage IIIB cervical cancer (n=228) | Spanish; 50 institutions, Spain | Randomized controlled trial | Cervical cancer of stage IIIB | LC9018 (a biological response modifier prepared from heat-killed | ||
| 13 | 1989 | Okawa et al | Patients with stage IIB or III cervical cancer (n=61) | Japanese; Department of Radiology, Tokyo Women’s Medical College, Tokyo, Japan | Randomized controlled trial | Cervical cancer of stage IIB or III | LC9018 enhanced the therapeutic effect of the irradiation. LC9018 could protect the patients from leukopenia during radiotherapy | ||
| 14 | 1978 | Mead | Patients with invasive cervical cancer (n=21) | American; Department of Obstetrics and Gynecology at the University of Vermont College of Medicine, Burlington, VT, USA | Aerobic lactobacilli | Bacteria isolation and purification | Cervical cancer | Patients with cervical cancer have a decreased frequency of isolation of aerobic lactobacilli |
Notes: Cervical cancer and precancerous lesions in women were associated with high relative abundance of Lactobacillus and several of its subgenera. Oral lactobacilli (panel number 11) and an E7-expressing Lactobacillus-based vaccine (panel number 8) were able to decrease the risk of CIN. LC9018 protected patients from radiation-induced leukopenia with few side effects.
Abbreviations: CCK-8, cell counting kit-8; CIN, cervical intraepithelial neoplasia; CT, community type; HPV, human papillomavirus; HR-HPV, high-risk HPV; HSIL, high-grade squamous intraepithelial lesion; ICC, invasive cervical cancer; L. crispatus, Lactobacillus crispatus; L. iners, Lactobacillus iners; L. jensenii, Lactobacillus jensenii; LSIL, low-grade squamous intraepithelial lesion; PCR, polymerase chain reaction.
Experimental studies of Lactobacillus in cervical cancer
| Number | Year | Authors | Experimental animal and cell model | Subgenera of | Methods | Diseases | Findings | Reference |
|---|---|---|---|---|---|---|---|---|
| 1 | 2017 | Wang et al | CaSki cells | MTT assay, flow cytometry, and PCR | Cervical cancer | Supernatants of | ||
| 2 | 2017 | Li et al | HeLa and U14 cell lines and Xenograft mouse | Lactobacilli | CCK-8, Western blot, and immunohistochemistry | Cervical cancer | Lactobacilli inhibit the migratory ability of cervical cancer cell lines and the upregulation of E-cadherin may be involved in the molecule mechanism | |
| 3 | 2017 | Sungur et al | Women, cervical cancer cell and Caco-2 cell lines | HPLC, WST-1 cell proliferation assay, ELISA, and PCR | Cervical cancer | EPSs of | ||
| 4 | 2017 | Jang et al | Th17 cells and HeLa cell lines | Enzyme-linked immunospot assay, immunoblotting, PCR, and flow cytometry | Cervical cancer | |||
| 5 | 2016 | Nouri et al | HeLa cell lines | LRS and LCS | MTT assay and PCR | Cervical cancer | LRS and LCS have antimetastatic and antiproliferative activities on HeLa cell lines | |
| 6 | 2016 | Motevaseli et al | HeLa cells | PCR | Cervical cancer | |||
| 7 | 2015 | Kim et al | CaSki and HeLa cell lines | Flow cytometry | Cervical cancer | |||
| 8 | 2014 | Nami et al | Women; HeLa cell lines and HUVEC normal cells | 16S rDNA gene sequencing, disk diffusion antibiotic susceptibility test, MTT assay, DAPI staining method, and flow cytometry | Cervical cancer | |||
| 9 | 2013 | Motevaseli et al | Human normal fibroblast- like cervical (normal cervical) and HeLa (cervical tumor) cells | MTT assay, Trypan blue staining, lactate dehydrogenase assay, colorimetric caspase-3 activity assay, and PCR | Cervical cancer | |||
| 10 | 2013 | Ribelles et al | Mice, inbred C57BL | Cell surface display techniques | Cervical cancer | E7-expressing LAB, as a mucosal live vaccine, protects against HPV-type 16-induced tumors in mice | ||
| 11 | 2010 | Lee et al | Mice | Enzyme-linked immunospot assay | Cervical cancer | Oral | ||
| 12 | 2010 | Adachi et al | C57BL/6 mice | Flow cytometry | Cervical cancer | |||
| 13 | 2006 | Poo et al | Mice | Western blot, flow cytometry, and immunofluorescence microscopy | Cervical cancer | Oral administration of | ||
| 14 | 2006 | Aires et al | Mice | Western blotting, electron microscopy analysis, immunofluorescence, immunosorbent assay, and enzyme-linked immunosorbent assay | Cervical cancer | HPV-type 16 L1 virus-like particles by recombinant | ||
| 15 | 1999 | McNicol et al | CaSki carcinoma cell line | PCR and quantitative culture | CIN; HPV 16 infection | Isolation of |
Notes: Cancer cell and animal models and molecular biology techniques were used to study the role of Lactobacillus and several of its subgenera in cervical cancer. Lactobacillus, several subgenera, and their supernatants had antimetastatic and antiproliferative effects in cervical cancer cell lines by regulating cancer-related genes and eliciting an immunological response.
Abbreviations: DAPI, 14′,6-diamidino-2-phenylindole; ELISA, enzyme-linked immunosorbent assay; EPSs, exopolysaccharides; HPV, human papillomavirus; L. casei, Lactobacillus casei; L. crispatus, Lactobacillus crispatus; L. gasseri, Lactobacillus gasseri; L. jensenii, Lactobacillus jensenii; LAB, lactic acid bacteria; LCS, L. crispatus supernatant; LRS, Lactobacillus rhamnosus supernatant.
Figure 2Network illustrating the effects of Lactobacillus in cervical cancer.
Note: An association network for Lactobacillus in cervical cancer was constructed based on the analysis of experimental studies and allows improved visualization of these studies.
Abbreviations: HPV, human papillomavirus; L. acidophilus, Lactobacillus acidophilus; L. casei, Lactobacillus casei; L. crispatus, Lactobacillus crispatus; L. gasseri, Lactobacillus gasseri; L. jensenii, Lactobacillus jensenii; L. lactis, Lactobacillus lactis; L. plantarum, Lactobacillus plantarum; L. rhamnosus, Lactobacillus rhamnosus.