| Literature DB >> 33197886 |
Shu-Ting Huang1,2, Jing Chen1,2, Li-Yin Lian1,2, Hui-Hua Cai1,2, Hai-Shan Zeng1,2, Min Zheng3, Mu-Biao Liu1,2.
Abstract
Growing evidence suggests that microbes can influence the onset of cancer and its consequent development. By researching samples from patients afflicted by cervical cancer, we aimed to explore the associated dynamics and prognostic value of intratumoral levels of F. nucleatum. We used qPCR to analyze tumor tissues obtained from 112 cervical cancer patients in order to characterize the levels and influences of intratumoral levels of the F. nucleatum. Especially for recurrent tissues, there was a distinct observation of higher levels of F. nucleatum in cervical cancer. Patients with high burdens of F. nucleatum intratumoral infiltration exhibited correspondingly poor rates of both overall survival and progression-free survival. Measures of the levels of F. nucleatum were found to have been reliable independent prognostic factors that could predict rates of PFS for afflicted patients (HR = 4.8, 95%CI = 1.2-18.6, P = 0.024). Notably, the levels of F. nucleatum were positively correlated with tumor differentiation. Cancer cells from patients with relatively high levels of F. nucleatum were observed to possess the characteristics of cancer stem cells (CSCs). We propose that F. nucleatum might be one potential cervical cancer diagnostic and prognostic biomarker, and these findings will help to provide a sound rationale and merit for further study of this bacterium.Entities:
Keywords: CSCs; F. nucleatum; cervical cancer; prognosis; recurrence and metastasis
Mesh:
Year: 2020 PMID: 33197886 PMCID: PMC7746363 DOI: 10.18632/aging.104188
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1Intratumoral (A) F. nucleatum levels in 23 pairs of (Left) adjacent non-tumor tissues (ANT) vs. cervical cancer and (Middle) cervical cancer vs. (Right) recurrent cervical cancer tissues. (B) The relative amount of F. nucleatum in 23 cervical cancer tissues within I/II stage and (C) 20 advanced cancer tissues III/IV. Differences were assessed with a paired two-tailed t-test. F.N, F. nucleatum
Clinicopathological characteristics of patients with cervical cancer.
| >35 | 85 | 75.9 | |
| ≤35 | 27 | 24.1 | |
| I(IB1, IB2) | 84 | 75.0 | |
| II(IIA, IIB) | 28 | 25.0 | |
| 1 | 6 | 5.4 | |
| 2 | 37 | 33.0 | |
| 3 | 69 | 61.6 | |
| >4cm | 87 | 77.7 | |
| ≤4cm | 23 | 20.5 | |
| Yes | 6 | 5.4 | |
| No | 106 | 94.6 | |
| ≥ 66% | 48 | 60.8 | |
| <66% | 31 | 39.2 | |
| Yes | 59 | 52.7 | |
| No | 52 | 46.4 | |
| Yes | 22 | 20.0 | |
| No | 88 | 80.0 | |
| Vital status(at follow-up) | |||
| Death | 18 | 16.1 | |
| Alive | 94 | 83.9 | |
| Yes | 22 | 19.6 | |
| No | 90 | 80.4 |
Figure 2Cumulative survival curves of Patients, divided into two groups derived from a cut-off value (ΔΔCt = 1.06), with higher F. nucleatum (n = 67) burdens have shorter OS (A) and PFS (B) than whom in lower group (n = 45). The OS and PFS curves were generated by the Kaplan–Meier method and analyzed using the log-rank test.
Univariate and multivariate analysis of factors associated with overall survival in cervical cancer patientsa.
| Age, years | >35 | 0.6(0.2-1.6) | 0.330 |
| FIGO stage | IIA | 1.6(0.6-4.4) | 0.318 |
| Greatest tumor dimension, cm | >4 | 2.1(0.8-5.7) | 0.141 |
| Lymphovascular space invasion | Yes or no | 1.8(0.4-8.2) | 0.404 |
| Depth of cervical invasion | ≥66% | 11.4(1.5-86) | |
| Yes or no | 1.7(0.9-3.2) | 0.102 | |
| Yes or no | 1.5(0.5-4.2) | 0.428 | |
| Differentiation | poor | 6.5(1.5-28.4) | |
| high | 4.9(1.4-17.4) | ||
| Differentiation | poor | 6.1(1.2-29.7) | |
| Lymphovascular space invasion | Yes or no | 7.1(1.0-50.1) | |
| Depth of cervical invasion | ≥66% | 16.7(1.9-148) |
aCox proportional hazards regression model. Variables used in multivariate analysis were adopted by univariate analysis. Significant p values (< 0.05) are shown in bold font.
bHR > 1, risk for death increased; HR < 1, risk for death decreased.
Abbreviations: HR, hazard ratio; CI, confidence interval; NA, not applicable.
Univariate and multivariate analysis of factors associated with progression-free survival in cervical cancer patientsa.
| Age, years | >35 | 0.4(0.2-1.0) | 0.055 |
| FIGO stage | IIA/IIB | 1.2(0.5-3.2) | 0.649 |
| Greatest tumor dimension, cm | >4 | 0.6(0.2-2.1) | 0.476 |
| Lymphovascular space invasion | Yes or no | 1.5(0.3-6.3) | 0.591 |
| Depth of cervical invasion | ≥66% | 2.8(0.9-8.7) | 0.067 |
| Uterine corpus invasion | Yes or no | 1.9(0.8-4.6) | 0.137 |
| Pelvic lymph node metastasis | Yes or no | 2.9(1.2-6.8) | |
| Differentiation | poor | 4.5(1.5-13.6) | |
| high | 5.2(1.7-16.1) | ||
| Pelvic lymph node metastasis | Yes or no | 3.1(1.1-8.8) | |
| Differentiation | poor | 4.8(1.2-18.3) | |
| high | 4.8(1.2-18.6) |
Associations between F. nucleatum level and clinicopathological characteristics in cervical cancer.
| Age, years | 0.145 | ||
| >35 | 37(43.5) | 48(56.5) | |
| ≤35 | 8(29.6) | 19(70.4) | |
| FIGO stage | 0.241 | ||
| IIA/IIB | 13(48.1) | 14(51.9) | |
| IB1/IB2 | 32(38.1) | 52(61.9) | |
| Greatest tumor dimension, cm | 0.521 | ||
| >4 | 9(39.1) | 14(60.9) | |
| ≤4 | 36(41.4) | 51(58.6) | |
| Lymphovascular space invasion | 0.459 | ||
| Yes | 3(50.0) | 3(50.0) | |
| No | 42(39.6) | 64(60.4) | |
| Depth of cervical invasion | 0.135 | ||
| ≥66% | 16(33.3) | 32(66.7) | |
| <66% | 15(48.4) | 16(51.6) | |
| Uterine corpus invasion | 0.065 | ||
| Yes | 19(32.2) | 40(67.8) | |
| No | 25(48.1) | 27(51.9) | |
| Pelvic lymph node metastasis | 0.327 | ||
| Yes | 10(45.5) | 12(54.5) | |
| No | 33(37.5) | 55(62.5) | |
| Differentiation b | |||
| Poor | 21 (30.4) | 48(69.6) | |
| Well+moderate | 24(55.8) | 19(44.2) | |
| Recurrence | |||
| Yes | 4(18.2) | 18(81.8) | |
| No | 41(45.6) | 49(54.4) | |
| Vital status(at follow-up) | |||
| Death | 3 (16.7) | 15(83.3) | |
| Alive | 42(44.7) | 52(55.3) | |
aχ test. Significant P-values (<0.05) are shown in bold font.
Figure 3The association between (A) F. nucleatum burdens in 112 tumors tissues. The mean amount of F. nucleatum was increased in poor (n = 69) differentiation tumors compared with well (n = 6) or moderate (n = 37) differentiation tumors. Data are expressed as mean±SD (bars); Kaplan-Meier analysis of OS (B) and PFS (C) for patients with high (red, n = 48) or low (blue, n = 21) F. nucleatum levels in poor differentiation (PD) cancer tissues; Kaplan-Meier analysis of OS (D) and PFS (E) for patients with poor differentiation and high F. nucleatum levels (red, n = 47, PD+F. nucleatum) vs. poor differentiation and low F. nucleatum levels or non-poor differentiation(NPD, well/moderate differentiation) and high F. nucleatum levels (blue, n = 40, PD+F. /NPD+F. ) vs. NPD and low F. nucleatum levels (green, n = 24, NPD+F. nucleatum). Differences were assessed with an unpaired two-tailed t-test. The OS and PFS curves were generated by the Kaplan–Meier method and analyzed using the log-rank test.
Figure 4High intratumoral Spheres in primary cervical cancer cells sorted for differentiation and intratumoral F. nucleatum levels- Representative Sphere formation capability for cells from patients with well differentiation and low (A) or high (B) amounts of F. nucleatum, or patients with poor differentiation and low (C) or high (D) levels of intra-tumor F. nucleatum. (E) Statistical analyses of Spheres for above patients. Scale bar = 200μm. Data are expressed as mean±SD (bars); Primary cells were obtained from cervical cancer patients and spheres were formed by culturing 3*103 cells in 3 wells. The number of spheres (>75μm) was counted respectively. All experiments were performed in triplicate.
Figure 5High levels of intratumoral Representative Matrigel transwell for cells sorted for well differentiation and low (A) or high (B) amounts of F. nucleatum, or poor differentiation and low (C) or high (D) levels of intra-tumor F. nucleatum. (E) Statistical analyses of invasion cells for these groups. Scale bar = 500μm. Data are expressed as mean±SD (bars). All experiments were performed in triplicate.
Figure 6The expression levels of known CSCs and metastasis-related genes. Expression of 8 CSCs regulated genes (A) and 10 metastasis associated proteins (B) were compared by quantitative RT-PCR between cells obtained from patients with low and high intra-tumor F. nucleatum infiltration. Error bars represent the mean±SD of three independent experiments.