A phase II study: dose-dense carboplatin and paclitaxel as neoadjuvant chemotherapy in locally advanced cervical cancer

Dose-dense neoadjuvant chemotherapy before radical surgery in cervical cancer: a retrospective cohort study and systematic literature review

OBJECTIVE

To evaluate the role of dose-dense neoadjuvant chemotherapy followed by radical hysterectomy in reducing adjuvant radiotherapy in International Federation of Gynecology and Obstetrics (FIGO) 2018 stage IB1-IB2/IIA1 cervical cancer with disrupted stromal ring and as an alternative to concurrent chemoradiotherapy in FIGO 2018 stages IB3/IIA2.

METHODS

This was a retrospective cohort study including patients with FIGO 2018 stage IB1-IIA2 cervical cancer undergoing dose-dense neoadjuvant chemotherapy at the European Institute of Oncology in Milan, Italy between July 2014 and December 2022. Weekly carboplatin (AUC2 or AUC2.7) plus paclitaxel (80 or 60 mg/m2, respectively) was administered for six to nine cycles. Radiological response was assessed by Response Evaluation Criteria in Solid Tumours (RECIST) v1.1 criteria. The optimal pathological response was defined as residual tumor ≤3 mm. Kaplan-Meier curves were used to estimate survival rates. A systematic literature review on dose-dense neoadjuvant chemotherapy before surgery for cervical cancer was also performed.

RESULTS

A total of 63 patients with a median age of 42.8 years (IQR 35.3-47.9) were included: 39.7% stage IB-IB2/IIA1 and 60.3% stage IB3/IIA2. The radiological response was as follows: 81% objective response rate (17.5% complete and 63.5% partial), 17.5% stable disease, and 1.6% progressive disease. The operability rate was 92.1%. The optimal pathological response rate was 27.6%. Adjuvant radiotherapy was administered in 25.8% of cases. The median follow-up for patients who underwent radical hysterectomy was 49.7 months (IQR 16.8-67.7). The 5-year progression-free survival and overall survival were 79% (95% CI 0.63 to 0.88) and 92% (95% CI 0.80 to 0.97), respectively. Fifteen studies including 697 patients met the eligibility criteria for the systematic review. The objective response rate, operability rate, and adjuvant radiotherapy rate across studies ranged between 52.6% and 100%, 64% and 100%, and 4% and 70.6%, respectively.

CONCLUSIONS

Dose-dense neoadjuvant chemotherapy before radical surgery could be a valid strategy to avoid radiotherapy in stage IB1-IIA2 cervical cancer, especially in young patients desiring to preserve overall quality of life. Prospective research is warranted to provide robust, high-quality evidence.

HPV-Negative Cervical Cancer: A Narrative Review

Cervical cancer (CC) is the fourth most frequent cancer in women worldwide. HPV infection is associated with the majority of CC cases, but a small proportion of CCs actually test negative for HPV. The prevalence of HPV among CC histotypes is very different. It has been suggested that HPV-negative CC may represent a biologically distinct subset of tumors, relying on a distinct pathogenetic pathway and carrying a poorer prognosis, than HPV-positive CCs. Although, the discordance in terms of sensitivity and specificity between different HPV tests as well as the potential errors in sampling and storing tissues may be considered as causes of false-negative results. The identification of HPV-negative CCs is essential for their correct management. The aim of this narrative review is to summarize the clinical and pathological features of this variant. We also discuss the pitfalls of different HPV tests possibly leading to classification errors.

A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer

Despite several studies having identified factors associated with successful treatment outcomes in locally advanced cervical cancer, there is the lack of accurate predictive modeling for progression-free survival (PFS) in patients who undergo radical hysterectomy after neoadjuvant chemotherapy (NACT). Here we investigated whether machine learning (ML) may have the potential to provide a tool to predict neoadjuvant treatment response as PFS. In this retrospective observational study, we analyzed patients with locally advanced cervical cancer (FIGO stages IB2, IB3, IIA1, IIA2, IIB, and IIIC1) who were followed in a tertiary center from 2010 to 2018. Demographic and clinical characteristics were collected at either treatment baseline or at 24-month follow-up. Furthermore, we recorded data about magnetic resonance imaging (MRI) examinations and post-surgery histopathology. Proper feature selection was used to determine an attribute core set. Three different machine learning algorithms, namely Logistic Regression (LR), Random Forest (RFF), and K-nearest neighbors (KNN), were then trained and validated with 10-fold cross-validation to predict 24-month PFS. Our analysis included n. 92 patients. The attribute core set used to train machine learning algorithms included the presence/absence of fornix infiltration at pre-treatment MRI as well as of either parametrium invasion and lymph nodes involvement at post-surgery histopathology. RFF showed the best performance (accuracy 82.4%, precision 83.4%, recall 96.2%, area under receiver operating characteristic curve (AUROC) 0.82). We developed an accurate ML model to predict 24-month PFS.

Pharmacological Treatment of Patients with Metastatic, Recurrent or Persistent Cervical Cancer Not Amenable by Surgery or Radiotherapy: State of Art and Perspectives of Clinical Research

Cervical cancer patients with distant or loco-regional recurrences not amenable by surgery or radiotherapy have limited treatment options, and their 5-year overall survival (OS) rates range from 5% to 16%. The purpose of this paper is to assess the results obtained with chemotherapy and biological agents in this clinical setting. Several phase II trials of different cisplatin (CDDP)-based doublets and a phase III randomized trial showing a trend in response rate, progression-free survival, and OS in favor of CDDP + paclitaxel (PTX) compared with other CDDP-based doublets have been reviewed. The factors predictive of response to chemotherapy as well as the benefits and risks of the addition of bevacizumab to CDDP + PTX have been analyzed. The FDA has recently approved pembrolizumab for patients with recurrent or metastatic cervical cancer in progression on or after chemotherapy whose tumors were PD-L1 positive. Interesting perspectives of clinical research are represented by the use of immune checkpoint inhibitors alone or in addition to chemotherapy, whereas PARP inhibitors and PI3K inhibitors are still at the basic research phase, but promising.