- Open Access
Peripheral lymphocyte populations in ovarian cancer patients and correlations with clinicopathological features
Journal of Ovarian Research volume 15, Article number: 43 (2022)
To investigate the alterations of peripheral lymphocyte subpopulations in ovarian cancer patients compared to benign or borderline counterparts. The possible clinicopathological implications were also evaluated.
We enrolled 112 treatment-naive ovarian cancer patients, 14 borderline tumor patients and 44 benign tumor patients between 09/2016 and 01/2019. Flow cytometry was used to measure the peripheral lymphocyte subsets consisting of T cells (CD3+, CD3+CD4+, CD3+CD8+ and CD8+CD28+), regulatory T cells (Tregs, CD4+CD25+CD127−), natural killer cells (NK cells, CD3−CD56+) and B cells (CD19+).
Most ovarian cancer patients were high-grade serous carcinoma (84.8%), followed by clear cell carcinoma (8.03%). Late-stage tumor (FIGO III + IV) accounted for 82.1%. The study showed that the proportions of peripheral lymphocyte subsets underwent apparent changes in ovarian cancer patients. We observed elevated levels of Treg cells in patients with both ovarian borderline and malignant tumor compared to those with benign tumors, which achieved statistic significance. In contrast, CD3+CD8+ T and CD8+CD28+ T cells were significantly lower in ovarian cancer patients. Interestingly, low level of B cells was correlated to clear cell carcinoma (P = 0.024), advanced tumor (P = 0.028) and platinum-resistant recurrence (P = 0.014). Regarding the changes of lymphocyte subsets after surgery, CD8+CD28+ T cells had a significant decreasing tendency (P = 0.007) while B cells were the opposite (P < 0.001).
Ovarian cancer patients have altered circulating lymphocyte profile (elevated Treg cell, depressed CD3+CD8+ T and CD8+CD28+ T cells). Low level of B cells might be related to disease aggressiveness, and it recovered after the removal of tumor, which merits further study.
1 Ovarian cancer patients have altered circulating lymphocyte profile
2 Low level of B cells might be related to disease aggressiveness, and it recovered after the removal of tumor.
Ovarian cancer remains the most lethal gynecologic malignancy. The role of the immune response in ovarian cancer is well demonstrated in the literatures [1,2,3]. Zhang and colleagues first reported a positive association between the number of tumor infiltrating lymphocytes and survival outcome . Other studies arrived at the same conclusion, which was summarized in a meta-analysis . Patients with a more robust immune response (documented by the existence of lymphocytes infiltrating within the tumor) have better response to chemotherapy and survival .
On the other hand, the role of peripheral lymphocytes has also been investigated in ovarian cancer, with a focus on regulatory T (Treg) cells [6,7,8]. In addition to T lymphocytes, B lymphocytes and Natural Killer (NK) cells are also important in maintaining the immunological balance. The alterations of lymphocyte subsets have been studied in several kinds of cancer, including hepatocellular carcinoma , head and neck squamous carcinoma , pancreatic cancer  and lymphoma .
In the current study, we aimed to depict the circulating lymphocyte profile by flow cytometry in ovarian cancer patients compared to those with ovarian benign and borderline tumors. Further, the results of flow cytometry were analyzed in relation to clinicopathological features including histology, tumor stage, and platinum response. Finally, we compared the pre- and post-treatment lymphocyte distribution.
Materials and methods
Study patients and data collection
The study was approved by the ethics committee of Fudan University Shanghai Cancer Center. We included all the patients highly suspicious for ovarian cancer and those with clinical benign adnexal mass from September 2016 to January 2019. The inclusion criteria were listed as follows: 1)A pathology confirmed diagnosis of ovarian cancer, benign ovarian tumor and borderline ovarian tumor; 2) No preoperative treatment including chemotherapy and laparotomy for those suspicious for ovarian cancer; 3) No significant past medical histology such as autoimmune diseases; 4) Without any sign of infection. Informed consent was obtained. Figure 1 presents the flow chart of patients throughout the study.
Clinicopathological features were retrospectively abstracted from the electronic medical record. Data collection included age at first diagnosis, International Federation of Gynecology and Obstetrics (FIGO) stage , pre-treatment serum cancer antigen 125 (CA 125), intra-operative findings, adjuvant chemotherapy and follow-up information. Early-stage patients (FIGO I + II) underwent complete staging, and those with advanced tumor (FIGO III + IV) received debulking surgery. Optimal cytoreductive surgery (CRS) was defined as residual disease less than (or including) 1 cm after primary debulking. Patients were considered to have platinum-sensitive disease if the interval time was > 6 months from the completion of the last platinum based chemotherapy to disease recurrence.
Blood sample collection and flow cytometry
Fasting venous blood samples were collected in EDTA-anticoagulated tubes at admission after informed consent. The time interval from blood collection to surgery/neoadjuvant chemotherapy is usually less than seven days. For ovarian cancer patients, post-operative blood samples were also collected before discharge, usually within 1–2 weeks. The flow cytometry protocol was introduced specifically in a previous publication from our institution . The fresh peripheral blood samples were analyzed within 24 h since collected. The cytometer FACS CANTO II (BD Biosciences, USA) were used for flow cytometry analyzing. Cell surface staining with fluorochrome-conjugated antibodies was performed in the dark at 4℃ for 30 min, then rewashed and re-suspended in PBS twice. The DIVA and CANTO software (BD Bioscience, USA) were used for logic gating and data analyzing. The fluorochrome-conjugated antibodies were shown in Supplementary Table 1, while the logic gating and analyzing figures for flow cytometry were presented in Supplementary Figures.
Statistical Package for Social Science (SPSS) (Version 20.0, SPSS, Inc., Chicago, IL, USA) and GraphPad Prism (Version 6.0, GraphPad Software, Inc., La Jolla, CA, USA) were used for the statistic analyses. Clinicopathological parameters and lymphocyte subsets were presented using descriptive statistics. Medians and ranges were applied for continuous variables, while proportions for categorical one. Comparisons were performed by the parametric Student's T tests and non-parametric Mann–Whitney U tests as appropriate. All P values reported were two tailed, and P < 0.05 was considered statistically significant.
A total of 177 participants were involved and seven were excluded after final diagnosis (Fig. 1). The number of malignant, borderline, and benign cases was 112, 14 and 44, respectively. As shown in Table 1, 98 ovarian cancer patients underwent upfront surgery while 14 received neoadjuvant chemotherapy. The median age of ovarian cancer patients was 56 years (range, 36–74). In terms of histologic subtype, high-grade serous carcinoma accounted for the majority (84.8%), followed by clear cell carcinoma (8.03%). Over eighty percent (92/112, 82.1%) patients presented with late-stage tumor (FIGO III + IV). Optimal debulking was achieved in 78.6% patients. Clearly seen from Fig. 1, 59 patients were available for platinum response assessment. Of them, platinum-resistant recurrence represented 23.7%.
Lymphocyte subsets in peripheral blood: ovarian benign tumor vs. borderline tumor vs. malignant tumor
By flow cytometry, the circulating lymphocyte subpopulations were measured, including T cells (CD3+, CD3+CD4+, CD3+CD8+ and CD8+CD28+), regulatory T cells (Tregs, CD4+CD25+CD127−), natural killer cells (NK cells, CD3−CD56+) and B cells (CD19+) (Table 2).
The results showed that the distribution of peripheral lymphocyte subpopulation underwent apparent changes in ovarian cancer patients (Fig. 2, Table 2). CD3+CD8+ T cells were significantly lower in ovarian cancer patients than benign disease (malignant Vs. benign: 26.84 ± 9.33 Vs. 30.91 ± 9.90, P = 0.017). There was also a trend towards lower level of CD8+CD28+ T cells in ovarian cancer patients compared to benign counterparts (malignant Vs. benign: 7.31 ± 2.77 Vs. 9.39 ± 3.00, P < 0.001). No significant difference was observed among three groups concerning CD3+ T cells, CD3+CD4+T cells, NK cells and B cells. Interestingly, increased proportions of Tregs were noted in both malignant and borderline tumor as compared to benign disease (malignant Vs. benign: 13.05 ± 3.22 Vs. 11.82 ± 2.23, P = 0.021; borderline Vs. benign: 13.96 ± 2.89 Vs. 11.82 ± 2.23, P = 0.005). CD4/CD8 ratio was higher in ovarian cancer patients than benign tumor (malignant Vs. benign: 1.78 ± 1.37 Vs. 1.42 ± 0.71, P = 0.038, Mann–Whitney U test).
In summary, we observed elevated levels of Treg cells in the circulatory blood of both ovarian borderline and malignant tumor patients. CD3+CD8+ T and CD8+CD28+ T cells were significantly lower in ovarian cancer patients.
Associations of lymphocyte subset and clinicopathological parameters
We further investigated the possible associations between lymphocyte subpopulation and clinicopathological parameters, including histology, stage and platinum response. Table 3 depicts that low level of B cells was related to clear cell carcinoma, late stage tumor and platinum-resistant recurrence (Fig. 3). No other correlation was observed.
Among the 98 ovarian cancer patients who received upfront surgery, we evaluated the effect of surgery on the distributions of circulating lymphocyte subsets (Fig. 4). The post-operative level of CD8+CD28+ T cells was lower than the pre-operative one with statistic significance (7.63 ± 2.70 vs. 7.09 ± 2.43, P = 0.007). A remarkable increase of B cells was noted after primary debulking surgery (12.92 ± 5.69 vs.14.96 ± 6.28, P < 0.001). Other variables remained unchanged before and after operation.
It has been well accepted that ovarian cancer patients present an immunosuppressive status, which was confirmed again by our work. In the present study, we observed the apparent alterations of circulating lymphocyte profile in ovarian cancer patients compared to patients with benign tumors or borderline tumors. Not surprisingly, CD3+CD8+ T cells and CD8+CD28+ T cells were depressed in ovarian cancer patients compared to patients with benign tumor. Based on the expression of CD28+, CD8+ T cells could be divided into CD8+CD28+ cytotoxic lymphocytes and CD8+CD28− inhibitory T cells . Besides, the immunosuppressive Treg cells were significantly higher in patients with ovarian borderline tumor and malignant cancer. Increased circulating Treg cells have been reported in patients with different kinds of malignant tumor, including ovarian cancer [6, 11, 15, 16].
The most interesting finding was that decreased proportions of circulating B cells was correlated to clear cell carcinoma, advanced stage, and platinum resistance. The role of B cells in ovarian cancer is more difficult to discern [17, 18] and remains controversial . Yang and colleagues measured CD19+ B cells in omental specimens in 49 high-grade epithelial ovarian cancer patients by immunohistochemistry . The conclusion was that increased B cell infiltration was associated with worse survival . Our study, from the perspective of peripheral blood, illustrated that decreased circulating B cells might be representative of disease aggressiveness (clear cell carcinoma, late stage and platinum insensitivity), which warrants further investigation.
The possible role of peripheral lymphocyte subset in differential diagnosis of ovarian mass leaves to be further studied. In the clinical setting, the approach to the patients with adnexal mass usually includes patient history, serum tumor markers and imaging modality (ultrasound and/or Magnetic Resonance Imaging). There is no universally accepted classification system for defining the risk of malignancy. In the present study, we noticed the different levels of peripheral lymphocytes (CD8 + T, CD8 + CD28 + T, and Treg cells) between those benign and malignant patients.
Regarding the impact of surgery on immune status, a published study showed that removal of primary tumors could reverse tumor-induced immunosuppression despite the presence of metastatic disease . In our study, it was interesting to note that the level of CD8+CD28+ T cells decreased while B cells increased within 1–2 weeks post-operatively. Xu and colleagues measured pre- and post-operative (4–6 weeks) circulating lymphocyte profile in pancreatic cancer . They found that the post-operative level of CD19+ B cells was lower than preoperative, whereas CD8+CD28+ T cells the opposite . Another study consecutively measured the lymphocyte subsets following open pulmonary lobectomy for lung cancer: before and five, 30 and 60 days after operation . It showed reductions of lymphocytes on post-operative day five, while complete recovery of the preoperative leukocyte setting was documented at 30 and 60 days .
The study has several limitations. Firstly, we only measured the lymphocyte subsets in peripheral blood. We planned to evaluate both the circulating and infiltrating lymphocytes in ovarian cancer patients in our future study. Secondly, the sample size is still not large enough. We only included 14 cases of borderline ovarian tumor, which might partly explain the insignificant differences between patients with ovarian cancer and borderline tumor. Thirdly, the survival outcome was not analyzed due to insufficient follow-up. We will update the survival information and investigate the possible prognostic implication of lymphocyte variables. Lastly, one-time snapshot of lymphocyte values could not reflect the kinetics. To better understand the alterations after surgery, consecutive blood samples should be collected.
We demonstrated the alterations of circulating lymphocyte profile in patients with ovarian cancer. Decreased proportion of CD19+ B cells in peripheral blood might be associated with disease aggressiveness, which warrants further assessment.
Availability of data and materials
The dataset supporting the conclusions of this article is available upon request. Please contact Prof. Huijuan Yang (email@example.com).
Regulatory T cells
The International Federation of Gynecology and Obstetrics
Zhang L, Conejo-Garcia JR, Katsaros D, Gimotty PA, Massobrio M, Regnani G, et al. Intratumoral T cells, recurrence, and survival in epithelial ovarian cancer. N Engl J Med. 2003;348:203–13.
Sato E, Olson SH, Ahn J, Bundy B, Nishikawa H, Qian F, et al. Intraepithelial CD8+ tumor-infiltrating lymphocytes and a high CD8+/regulatory T cell ratio are associated with favorable prognosis in ovarian cancer. Proc Natl Acad Sci USA. 2005;102:18538–43.
Wouters MC, Komdeur FL, Workel HH, Klip HG, Plat A, Kooi NM, et al. Treatment regimen, surgical outcome, and t-cell differentiation influence prognostic benefit of tumor-infiltrating lymphocytes in high-grade serous ovarian cancer. Clin Cancer Res. 2016;22:714–24.
Hwang WT, Adams SF, Tahirovic E, Hagemann IS, Coukos G. Prognostic significance of tumor-infiltrating T cells in ovarian cancer: a meta-analysis. Gynecol Oncol. 2012;124:192–8.
Turner TB, Buchsbaum DJ, Straughn JM Jr, Randall TD, Arend RC. Ovarian cancer and the immune system - the role of targeted therapies. Gynecol Oncol. 2016;142:349–56.
Wicherek L, Jozwicki W, Windorbska W, Roszkowski K, Lukaszewska E, Wisniewski M, et al. Analysis of Treg cell population alterations in the peripheral blood of patients treated surgically for ovarian cancer - a preliminary report. Am J Reprod Immunol. 2011;66:444–50.
Fialova A, Partlova S, Sojka L, Hromadkova H, Brtnicky T, Fucikova J, et al. Dynamics of T-cell infiltration during the course of ovarian cancer: the gradual shift from a Th17 effector cell response to a predominant infiltration by regulatory T-cells. Int J Cancer. 2013;132:1070–9.
Cannioto RA, Sucheston-Campbell LE, Hampras S, Goode EL, Knutson K, Ness R, et al. The association of peripheral blood regulatory T-cell concentrations with epithelial ovarian cancer: a brief report. Int J Gynecol Cancer. 2017;27:11–6.
Liu HZ, Deng W, Li JL, Tang YM, Zhang LT, Cui Y, et al. Peripheral blood lymphocyte subset levels differ in patients with hepatocellular carcinoma. Oncotarget. 2016;7:77558–64.
Kuss I, Hathaway B, Ferris RL, Gooding W, Whiteside TL. Decreased absolute counts of T lymphocyte subsets and their relation to disease in squamous cell carcinoma of the head and neck. Clin Cancer Res. 2004;10:3755–62.
Xu YF, Lu Y, Cheng H, Shi S, Xu J, Long J, et al. Abnormal distribution of peripheral lymphocyte subsets induced by PDAC modulates overall survival. Pancreatology. 2014;14:295–301.
Dehghani M, Sharifpour S, Amirghofran Z, Zare HR. Prognostic significance of T cell subsets in peripheral blood of B cell non-Hodgkin’s lymphoma patients. Med Oncol. 2012;29:2364–71.
FIGO Committee on Gynecologic Oncology. FIGO staging for carcinoma of the vulva, cervix, and corpus uteri. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. 2014;125:97–8.
Shunrong Ji, Zhang Bo, Yongfeng Xu, Wenyan Xu, Jin Xu, Quanxing Ni, Xianjun Yu. Expression of CD8+CD28+ and CD8+CD28- in the peripheral blood of pancreatic cancer patients. Shanghai Med J. 2012;35:316–9.
Ormandy LA, Hillemann T, Wedemeyer H, Manns MP, Greten TF, Korangy F. Increased populations of regulatory T cells in peripheral blood of patients with hepatocellular carcinoma. Can Res. 2005;65:2457–64.
Karagoz B, Bilgi O, Gumus M, Erikci AA, Sayan O, Turken O, et al. CD8+CD28- cells and CD4+CD25+ regulatory T cells in the peripheral blood of advanced stage lung cancer patients. Medical Oncol. 2010;27:29–33.
Nelson BH. CD20+ B cells: the other tumor-infiltrating lymphocytes. J Immunol (Baltimore, Md : 1950). 2010;185:4977–82.
Yang C, Lee H, Jove V, Deng J, Zhang W, Liu X, et al. Prognostic significance of B-cells and pSTAT3 in patients with ovarian cancer. PloS One. 2013;8:e54029.
Danna EA, Sinha P, Gilbert M, Clements VK, Pulaski BA, Ostrand-Rosenberg S. Surgical removal of primary tumor reverses tumor-induced immunosuppression despite the presence of metastatic disease. Can Res. 2004;64:2205–11.
Nosotti M, Rosso L, Mendogni P, Palleschi A, Tosi D, Bonara P, et al. Leukocyte subsets dynamics following open pulmonary lobectomy for lung cancer: a prospective, observational study. Interact Cardiovasc Thorac Surg. 2011;13:262–6.
The study was supported by grants from National Natural Science Foundation of China (81572803/81702558) and Shanghai Natural Science Foundation (20ZR1413000). The funding bodies didn't participate in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Ethics approval and consent to participate
The study was approved by the Fudan University Shanghai Cancer Center review board and the requirement for written informed consent was waived due to its retrospective design.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Ye, S., Chen, W., Zheng, Y. et al. Peripheral lymphocyte populations in ovarian cancer patients and correlations with clinicopathological features. J Ovarian Res 15, 43 (2022). https://doi.org/10.1186/s13048-022-00977-3
- Ovarian Neoplasms
- Flow cytometry