Skip to content

Validation of the Genetic Signature 354849 as a Prognostic Method

Prospective Study for the Validation of the Genetic Signature 354849 to Predict the Response to Standard Treatment in Patients With Locally Advanced Cervical Cancer

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04067882
Enrollment
189
Registered
2019-08-28
Start date
2019-09-30
Completion date
2024-05-30
Last updated
2023-11-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervix Cancer

Keywords

Genetic signature, Treatment response

Brief summary

This prospective study is focused on the validation of the genetic signature of 27 genes as a predictor of the response to concomitant chemotherapy treatment followed by brachytherapy in patients with locally advanced cervical cancer. The genes included are: ZNF238; SAP30; C10orf137; UHRF1; SUZ12; HMGN4; RBBP4; PPP1CB; SLFN11; FLJ39378; ENDOGL1; RECQL; TRPC1; TRIO; DNAH6; GNL3L; SLC36A2; SRP9; RPE; LDOC1L; PUS7L; CCDC89; LOC644921; PLEKHG1; FAM111B; RPRD2 y ETAA16.

Detailed description

There are several studies of genes or genetic signatures associated with the response to treatment in cervical cancer, but so far it has not been possible to standardize the use of any biomarker or biomarker signature as a predictor of the response to treatment with reproducible results. Therefore, there is still a need to develop an effective method to predict the response to chemo-radiotherapy in locally advanced cervical cancer. This prospective study included 189 patients with cervical cancer clinical stages IB2-IVA, without previous treatment. Tumor samples will be obtained at the confirmatory diagnostic biopsy. All samples will be processed by the pathology laboratory as usual. The RNA will be extracted from the paraffin blocks with the RNeasy FFPE Kit (Qiagen) according to the manufacturer's recommendations. The RNA will be stored at -20°C until use. Quantitative PCR (qPCR) will be performed with the kit High-Capacity cDNA Reverse transcription Kit (Thermo Fisher Scientific). Primers for the 27 genes will be developed. The relative expression will be calculated using the 2- ΔΔCt method, using the expression of β-actin as a normalizing gene. In order to obtain the prognostic score, the score assigned by the classifier for the sample will be calculated from the 2-ΔΔCt values obtained for each gene. This will be done by a computer-readable medium containing the type expression profiles related to a good and a bad response to the standard treatment.

Interventions

The RNA will be extracted from the tumor sample with a special kit and a q-PCR will be performed. In order to quantify the genetic expression, the comparative method called Cycle threshold or Crossing point will be used.

Sponsors

National Institute of Cancerología
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Women over 18 years old * Cervical Cancer at IB2-IVA FIGO´s clinical stages * Histology: squamous, adenosquamous or adenocarcinoma * No previous treatment * No distance metastases, discard by PET/CT * Functional State ECOG (Eastern Cooperative Oncology Group) 0-2 * Candidates to receive standard chemoradiotherapy treatment followed by brachytherapy

Exclusion criteria

* Previous chemotherapeutic, surgical and/or radiotherapy treatment for female reproductive tract pathologies * Previous invasive neoplasia (except non-melanoma skin cancer) unless there is complete remission of the disease of 3 years minimum. * Previous systemic chemotherapy for the current cervical cancer.

Design outcomes

Primary

MeasureTime frameDescription
Genetic signature validation2 yearsValidate the genetic signature of 27 genes to predict treatment response in patients with cervix cancer.

Secondary

MeasureTime frameDescription
Predictive values test2 yearsDetermine sensitivity, specificity and predictive values.

Countries

Mexico

Contacts

Primary ContactDavid F Cantú-de León, MD, MSc. PhD
dfcantu@gmail.com+5215537093156
Backup ContactCarlos G Pérez-Placencia, MSc, PhD
car_plas@yahoo.com

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026