Article Type : Research Article
Authors : Kashanova AE, Semenyakin IV and Mochalova AS
Keywords : ?heckpoints; Renal cell carcinoma; Immunotherapy; PD-1; Nivolumab; Pembrolizumab
Objective: To evaluate the effectiveness and tolerability of immunotherapy and to determine the immune response checkpoints in patients with renal cell carcinoma. Materials and Methods: The study included 35 patients (average age 60, 77 years) with kidney cancer who received systemic therapy (including surgical treatment): 25 men and 10 women. All patients from the moment of inclusion in the study received immunotherapy - PD-1 inhibitor: nivolumab/pembrolizumab. No clinically significant side effects were noted during treatment, and the therapy was well tolerated. During immunotherapy, the following were evaluated: complete blood count, urinalysis, biochemical blood tests, coagulation profile, thyroid hormones, computed tomography of the chest and abdominal organs, and immune checkpoints (PD-1, PDL-1, B7-H3, sHLA, CD314-1, sULPB) were determined three times during the treatment period. Results: The obtained data indicate that stabilization of the oncological process was registered in 18 patients (51.43%) and a partial response in 4 patients (11.43%). Disease progression was observed in 13 (37.14%) patients. No complete response to therapy was recorded. Lethal outcomes due to disease progression during therapy were recorded in 7 men (20% of cases) and 1 woman (2.86% of cases). Significantly more patients, both women and men, were alive at the end of the study. A pronounced trend of decreasing B7-H3 checkpoint indicators and increasing CD314-1, sHLA, PDL-1, and sULPB was noted. Conclusion: The results, indicating disease control in 62.86% of cases in patients with renal cell carcinoma receiving immune checkpoint inhibitors as part of complex treatment, create a basis for further research to evaluate their potential in improving disease prognosis and life expectancy
Renal
cell carcinoma (RCC) is the most common urological malignancy, imposing a
significant burden on the healthcare system [1]. By the end of 2020, the
proportion of patients with kidney cancer among all cancer patients in Russia
was 4.8% [2]. The incidence of kidney cancer in 2020 was 21,362 patients, with
a mortality rate of 8,455, and the lethality within a year of diagnosis was
14.1%. The
average age of patients at diagnosis was 62 years. Approximately 25-30% of all
patients had metastases at the time of diagnosis [3]. Renal cell carcinoma is
the most common type of kidney cancer in adults (85%). Urothelial carcinoma
accounts for 5-10% of kidney cancer cases. About 70% of kidney cancer cases are
clear cell type, papillary type occurs in 10-15% of cases, and chromophobe type
in 5% of cases [4]. Recognized
risk factors for developing kidney cancer include smoking, obesity, and
hypertension, while the role of alcohol and diabetes is still being studied
[5]. Currently, the increase in incidence is attributed to improved early
diagnostic measures. Kidney
cancer has characteristics that make it a promising target for therapeutic
approaches aimed at components of the immune system. Initial preclinical
studies focused on the action of immune checkpoint inhibitors [6]. As a result,
nivolumab and the combination of ipilimumab and nivolumab were approved for the
treatment of advanced renal cell carcinoma [7]. Subsequent studies led to the
approval of a combined regimen of immune checkpoint inhibitors with vascular endothelial
growth factor inhibitors [8]. Renal cell carcinoma responds poorly to
conventional chemotherapy, and although treatments targeting the mechanistic
target of rapamycin (mTOR) and vascular endothelial growth factor (VEGF) have
increased therapeutic responses, almost all tumors eventually develop
resistance to these molecularly targeted or anti-angiogenic treatments [9].
However, the question of choosing the optimal treatment regimen remains open
[10]. The
discovery of immune checkpoints has been a breakthrough in the treatment of
kidney cancer. However, the anti-tumor immune response is not perfect and is
suppressed by various tumor mechanisms that contribute to immune exhaustion and
evasion of immune surveillance [11-14]. This study includes an evaluation of the
effectiveness and safety of using immune checkpoint inhibitors in the treatment
of patients with kidney cancer and an assessment of the liquid forms of key
immune response checkpoints (PD-1, PDL-1, B7-H3, sHLA, CD314-1, sULPB). The
advantages of determining soluble forms of immune checkpoints in the blood
serum of patients include the ability to monitor them dynamically throughout
the tumour process.
Objective
To
evaluate the effectiveness and tolerability of immunotherapy and to determine
the immune response checkpoints in patients with renal cell carcinoma.
Materials and Methods
The
study included patients with kidney cancer who received anti-cancer drug
therapy using immune checkpoint inhibitors at the Clinical Hospital 1 Medsi
Otradnoye from 2021 to 2022. The study was approved by the local Ethics
Committee (extract ?4 dated 10.02.2021. “Approval of the Conduct of the
Clinical Trial”). All patients signed informed consent to participate in the
study. The
primary objective of the study was to evaluate the frequency of objective
responses to treatment and the frequency of control over the tumor process.
Secondary objectives included evaluating overall survival, the safety profile
of immuno-oncological drugs, and determining the liquid forms of immune
response checkpoints in patients with renal cell carcinoma. The response to
treatment was evaluated by the treating physician, and the effectiveness of
anti-cancer drug therapy was assessed according to RECIST 1.1 criteria. An
objective response was considered a complete or partial response, and control
over the tumor process included complete, partial responses, and stabilization
of the process. The severity of complications was assessed according to WHO recommendations
and CTCAE criteria, v.5.0. Before
the start of treatment and before each subsequent course of immunotherapy,
blood was drawn to determine the liquid forms of key immune response
checkpoints (PD-1, PDL-1, B7-H3, sHLA, CD314-1, sULPB). For structuring and
processing statistical data, Microsoft Excel from the Microsoft Office software
package and the STATISTICA statistical analysis software package were used.
Results were evaluated as M ± m, and differences were considered significant at
p<0.05. The
study included 35 patients with mRCC: 25 (71.4%) men and 10 (28.6%) women, with
histologically confirmed kidney cancer who received systemic anti-cancer drug
therapy. The median observation time for patients was 5.2 months. The average
age of patients was 60.77 years. The somatic status according to the ECOG
classification was 0 for 5 (14.3%) patients, 1 for 28 (80%), and 2 for 2
(5.71%). Patient
characteristics are presented in (Table 1).
Patients
with the following histological variants of malignant kidney neoplasms were
included in the study:
· Clear
cell renal carcinoma in 29 (82.86%) patients
· Papillary
renal carcinoma in 2 (5.71%) patients
· Chromophobe
renal carcinoma in 1 (2.86%) patient
· Urothelial
carcinoma in 1 (2.86%) patient
When
assessing the prognosis of metastatic renal cell carcinoma (mRCC) using the
IMDC scale, an unfavorable prognosis was registered in 12 (34.2%) patients, an
intermediate prognosis in 20 (57.1%), and a favorable prognosis in 3 (8.6%). Surgical treatment had
been previously performed on 26 (74.29%) patients, radiation therapy on 4
(11.43%), and anti-cancer drug therapy on 13 (37.14%). Two patients (5.71%) had
four lines of previous therapy, seven patients (20%) had three lines, two
patients (5.71%) had two lines, and 19 patients (54.29%) had one line of
therapy. Five patients (14.29%) had no previous lines of therapy. All patients, from the
moment of inclusion in the study, received anti-cancer drug therapy using
immunotherapy with PD-1 inhibitors: nivolumab (480 mg every 4 weeks) or
pembrolizumab (400 mg every 6 weeks or 200 mg every 2 weeks).
Results
The
obtained data indicate that stabilization of the oncological process was
registered in 18 patients (51.43%) and a partial response in 4 patients
(11.43%). Disease progression was observed in 13 (37.14%) patients. No complete
response to therapy was recorded. The characteristics of responses to therapy
are presented in (Table 2). Lethal outcomes due to disease progression during
therapy were recorded in 7 men (20% of cases) and 1 woman (2.86% of cases).
Significantly more patients, both women and men, were alive at the end of the
study. The obtained data also indicate that when using nivolumab (n=21),
stabilization of the oncological process was registered in 8 patients (38.1%), a
partial response in 3 patients (14.29%), and disease progression was observed
in 10 patients (47.62%). When using pembrolizumab (n=14), stabilization of the
oncological process was registered in 10 patients (71.43%), a partial response
in 1 patient (7.14%), and disease progression was observed in 3 patients
(21.43%). The characteristics of responses to therapy with different drugs are
presented in (Table 3).
The presented data indicate a pronounced trend of decreasing levels of the B7-H3 and sULPB checkpoints, and increasing levels of CD314-1, sHLA, and PDL-1. During the treatment, no clinically significant adverse events were noted, and the therapy was well tolerated. Adverse events were registered in 81.6% of patients, including 23.7% with grade III-IV severity. Most of the observed adverse events were grade I-II according to CTCAE 5.0 criteria and were corrected with symptomatic therapy. The most common adverse events were asthenia (26.3%), rash (15.8%), and loss of appetite (7.9%). In cases of mild adverse events, therapy was continued.
Conclusion
The
obtained results indicate disease control in 62.86% of cases in patients with
renal cell carcinoma, creating a basis for further research on the
effectiveness of immune checkpoint inhibitor therapy as part of complex treatment
to improve disease prognosis and life expectancy.
Author Contributions
·
Data
Collection and Processing: Semen akin IV, Mochalova AS, Kashanova AE.
·
Data
Analysis: Semenyakin IV, A.S. Mochalova AS, KashanovaAE.
·
Writing
and Editing: Semenyakin IV, Mochalova AS, Kashanova AE.
Conflict of Interest
The
authors declare no conflict of interest.
Funding
The
work was performed without external funding.
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Institution, National Medical Research Center of Radiology of the Ministry of
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