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Status unknownNCT05854030Updated May 11, 2023

Serum Exosomal miRNA Predicting the Therapeutic Efficiency in Lung Squamous Carcinoma

An observational study in Lung Neoplasm, Squamous Cell Carcinoma and Exosomes, sponsored by Tianjin Medical University Cancer Institute and Hospital. Status unknown at 1 site in China. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-05-11.

Sponsored by Tianjin Medical University Cancer Institute and Hospital · Observational

The sponsor has not verified this record recently (last verified Mar 2023), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
60
Ages
18 Years and older
Sex
All
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Study summary

This is an observational prospective bi-center study of 50 patients operated on advanced squamous cell carcinoma. The main aim is to investigate the efficacy of serum exosomal miRNA as a biomarker for predicting the therapeutic effect of immunotherapy combined with chemotherapy.

Read the detailed description

PD-L1 Testing in guiding patient selection for PD-1/PD-L1 inhibitor therapy in Lung Cancer exhibits insufficient sensitivity and efficacy. The investigators aimed to identify specific serum exosomal miRNA biomarkers that are highly sensitive and stable for predicting the therapeutic effect of immunotherapy combined with chemotherapy. So that the clinicians could use the biomarker to better stratify patients and select potential immunotherapy-beneficial subgroups before clinical decisions.

We plan to enroll 50 patients with advanced treatment-naïve squamous cell carcinoma and 10 healthy people in the present study. Peripheral blood from the plasma of 10 healthy individuals and 50 pulmonary squamous cell carcinoma (SCC) patients will be collected before first-line treatment and after 2 cycles of anti-PD-L1 immunotherapy combined with chemotherapy.

Firstly, exosomal miRNAs extracted from peripheral blood will be analyzed through high-throughput RNA sequencing to identify specific exosomal miRNAs.

Secondly, through analyzing the PFS and OS follow-up data of patients, they are divided into different subgroups. We explore the value of early predicting efficacy of exosome miRNA basing on sequencing results.

Thirdly, we compared the exo-miRNA biomarker with the value of PD-L1 expression in predicting the efficacy of immunotherapy.

Lastly, we suggest exo-miRNA combined with PD-L1 as a biomarker combination in predicting anti-PD-L1 immunotherapy efficacy to better select the potential benefit population suitable for immunotherapy.

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Conditions studied

  • Lung Neoplasm
  • Squamous Cell Carcinoma
  • Exosomes

Keywords

  • biomarker
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In context

Carcinoma

6,741 studies on the registry are indexed under Carcinoma; 1,161 are open to participants now.

This study's planned enrollment of 60 is below the median of 149 across 1,175 observational studies indexed under Carcinoma.

Browse Carcinoma studies →

Lead sponsor

Tianjin Medical University Cancer Institute and Hospital is the lead sponsor of 484 studies on the registry; 286 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patients diagnosed as advanced lung squamous carcinoma by histopathology and be treated with anti-PD-L1 combined with chemotherapy

Inclusion criteria

  1. Histology or cytology confirmed patients with stage IV squamous cell carcinoma of IASLC TNM (8th edition);
  2. Patients have not previously received first-line anti-tumor systemic therapy for advanced lung cancer;
  3. At least one measurable lesion according to the irRECIST 1.1 standard;
  4. Physical condition and organ function allow for systemic antitumor therapy, including standard chemotherapy and immunotherapy;
  5. Age ≥ 18 years at the time of signing the informed consent form;
  6. Estimated survival≥ 3 months;
  7. Patients can follow the planned schedule and actively cooperate in returning to the hospital for regular clinical follow-up and necessary treatment;
  8. It can provide the clinical data required for research and is willing to use the test data for further scientific research and commercial product development.

Exclusion criteria

Exclusion Criteria:

  1. Other malignancies within the last 5 years (except adequately treated carcinoma in situ and basal or squamous cell skin cancer);
  2. The investigators judged that the patient also had other serious medical conditions that could affect follow-up and short-term survival;
  3. Any other medical condition and social/psychological problems which the investigator determines that the patient is not suitable to participate in this study;
  4. Contrast-enhanced MRI or contrast-enhanced CT for clinical follow-up is not acceptable;
  5. Have an active or previous auto-immune disease that is likely to recur;
  6. Other antineoplastic therapies were planned for the duration of the study.
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
60 participants (estimated)
Patient registry
No

Groups and cohorts

  • advanced lung squamous carcinoma

    advanced pulmonary carcinoma with pathological diagnosis of squamous cell and are applied with first line treatment of anti-PD-L1 combined with chemotherapy

    Diagnostic Test: collect plasma samples and clinical features

  • normol volunteers

    10 normol volunteers will be enrolled in the group

    Diagnostic Test: collect plasma samples and clinical features

Interventions

  • Diagnostic testcollect plasma samples and clinical features

    8ml of peripheral blood need to be collected from pre- and post-treatment advanced pulmonary squamous carcinoma separately

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What researchers measure

Primary outcomes

  1. plasma exosomal miRNA level

    The expression levels of serum exosome micro RNA

    Time frame: Baseline up to 21 days

  2. PD-L1

    the expression levels of PD-L1

    Time frame: Baseline up to 21 days

  3. Imaging data of lesions

    Imaging data of the pulmonary and metastatic lesions of the patients are collected

    Time frame: From date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 100 months

  4. Objective response rate

    Time frame: From the start of systemic treatment date until the date of first documented disease progression or date of death from any cause, whichever came first, assessed up to 100 months

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Study locations

1 of 1 sites recruiting
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References and documents

Publications

  • Walsh RJ, Soo RA. Resistance to immune checkpoint inhibitors in non-small cell lung cancer: biomarkers and therapeutic strategies. Ther Adv Med Oncol. 2020 Jul 3;12:1758835920937902. doi: 10.1177/1758835920937902. eCollection 2020. PubMed 32670423 ↗
  • Hansen AR, Siu LL. PD-L1 Testing in Cancer: Challenges in Companion Diagnostic Development. JAMA Oncol. 2016 Jan;2(1):15-6. doi: 10.1001/jamaoncol.2015.4685. No abstract available. PubMed 26562503 ↗
  • Sacher AG, Gandhi L. Biomarkers for the Clinical Use of PD-1/PD-L1 Inhibitors in Non-Small-Cell Lung Cancer: A Review. JAMA Oncol. 2016 Sep 1;2(9):1217-22. doi: 10.1001/jamaoncol.2016.0639. PubMed 27310809 ↗
  • Rizvi NA, Hellmann MD, Snyder A, Kvistborg P, Makarov V, Havel JJ, Lee W, Yuan J, Wong P, Ho TS, Miller ML, Rekhtman N, Moreira AL, Ibrahim F, Bruggeman C, Gasmi B, Zappasodi R, Maeda Y, Sander C, Garon EB, Merghoub T, Wolchok JD, Schumacher TN, Chan TA. Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science. 2015 Apr 3;348(6230):124-8. doi: 10.1126/science.aaa1348. Epub 2015 Mar 12. PubMed 25765070 ↗
  • Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, Lu S, Kemberling H, Wilt C, Luber BS, Wong F, Azad NS, Rucki AA, Laheru D, Donehower R, Zaheer A, Fisher GA, Crocenzi TS, Lee JJ, Greten TF, Duffy AG, Ciombor KK, Eyring AD, Lam BH, Joe A, Kang SP, Holdhoff M, Danilova L, Cope L, Meyer C, Zhou S, Goldberg RM, Armstrong DK, Bever KM, Fader AN, Taube J, Housseau F, Spetzler D, Xiao N, Pardoll DM, Papadopoulos N, Kinzler KW, Eshleman JR, Vogelstein B, Anders RA, Diaz LA Jr. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017 Jul 28;357(6349):409-413. doi: 10.1126/science.aan6733. Epub 2017 Jun 8. PubMed 28596308 ↗
  • Yu W, Hurley J, Roberts D, Chakrabortty SK, Enderle D, Noerholm M, Breakefield XO, Skog JK. Exosome-based liquid biopsies in cancer: opportunities and challenges. Ann Oncol. 2021 Apr;32(4):466-477. doi: 10.1016/j.annonc.2021.01.074. Epub 2021 Feb 4. PubMed 33548389 ↗
  • Mashouri L, Yousefi H, Aref AR, Ahadi AM, Molaei F, Alahari SK. Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance. Mol Cancer. 2019 Apr 2;18(1):75. doi: 10.1186/s12943-019-0991-5. PubMed 30940145 ↗
  • Correction: Correlation of plasma exosomal microRNAs with the efficacy of immunotherapy in EGFR / ALK wild-type advanced non-small cell lung cancer. J Immunother Cancer. 2020 May;8(1):e000376corr1. doi: 10.1136/jitc-2019-000376corr1. No abstract available. PubMed 32434787 ↗
  • Cazzoli R, Buttitta F, Di Nicola M, Malatesta S, Marchetti A, Rom WN, Pass HI. microRNAs derived from circulating exosomes as noninvasive biomarkers for screening and diagnosing lung cancer. J Thorac Oncol. 2013 Sep;8(9):1156-62. doi: 10.1097/JTO.0b013e318299ac32. PubMed 23945385 ↗
  • Zhang C, Chong X, Jiang F, Gao J, Chen Y, Jia K, Fan M, Liu X, An J, Li J, Zhang X, Shen L. Plasma extracellular vesicle derived protein profile predicting and monitoring immunotherapeutic outcomes of gastric cancer. J Extracell Vesicles. 2022 Apr;11(4):e12209. doi: 10.1002/jev2.12209. PubMed 35362262 ↗
  • Cordonnier M, Nardin C, Chanteloup G, Derangere V, Algros MP, Arnould L, Garrido C, Aubin F, Gobbo J. Tracking the evolution of circulating exosomal-PD-L1 to monitor melanoma patients. J Extracell Vesicles. 2020 Jan 7;9(1):1710899. doi: 10.1080/20013078.2019.1710899. eCollection 2020. PubMed 32002173 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 11, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05854030
Lead sponsor
Tianjin Medical University Cancer Institute and Hospital
Collaborators
Tianjin Chest Hospital
Responsible party
Sponsor
First posted
May 11, 2023
Start date
Apr 1, 2022
Primary completion
Jul 31, 2023 (estimated)
Completion
Aug 31, 2023 (estimated)
Last update
May 11, 2023

Study contacts

Richeng Jiang, Postdoctor
Contact
jiangricheng@tjmuch.com
862223340123
Qin Chen, Doctor
Contact
ruozhuxuan@163.com
+8615822048332
Richeng Richeng, Postdoctor
study chair · Tianjin Medical University Cancer Institute and Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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