CTD Module 2 Explained: Biopharmaceutics & Clinical Data

Authoring CTD Module 2: A Practical Guide to Sections 2.7.1 and 2.7.2

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Understanding CTD Module 2 and Its Role in FDA Submissions

Figure 1: The CTD Triangle represents the structure of the Common Technical Document for regulatory submissions: Module 1 contains regional administrative information (not part of the CTD), while Modules 2 through 5 include the quality, nonclinical, and clinical summaries and study reports that form the core of the CTD. 

The Common Technical Document (CTD), written by a multidisciplinary team of scientific and regulatory experts, provides a universal format for regulatory submissions (i.e., INDs, NDAs, BLAs, and ANDAs) to the FDA. CTD Module 1 contains region-specific administrative information, CTD Module 2 contains manufacturing, nonclinical, and clinical overviews and summaries, and Modules 3 to 5 contain detailed manufacturing information, nonclinical, and clinical study reports (figure 1). For clinical pharmacologists, CTD Module 2 is where we describe the pharmacokinetics (PK) and pharmacodynamics (PD) of a drug. Two sections specifically, 2.7.1 (Summary of Biopharmaceutics Studies and Associated Analytical Methods) and 2.7.2 (Summary of Clinical Pharmacology Studies) require scientific expertise in clinical pharmacology and biopharmaceutics and often include information highly relevant for drug labeling.

To author Sections 2.7.1 and 2.7.2, it is essential that complex quantitative data is effectively translated into a story that regulatory agencies can easily follow.  

Section 2.7.1: Summarizing Biopharmaceutics Studies and Analytical 

Methods Biopharmaceutics studies bridge chemistry, manufacturing, and control (CMC) data with clinical performance. The 2.7.1 section should therefore provide a factual summary of all in vitro dissolution, bioavailability (BA), and bioequivalence (BE) studies carried out with the drug substance or drug product. Food effect studies, which are commonly conducted as part of Phase 1, are also frequently included along with BA/BE studies. Section 2.7.1 results focus on how the drug formulation performs, whether the intended dose delivers the expected exposure, and whether BA or BE has been demonstrated across studies and formulations, with particular attention to differences in results across studies. Examples of content that may be summarized in Section 2.7.1 include the following: 

  • Food effect study examining the impact of a high-fat meal on PK 
  • Relative bioavailability study comparing the PK of an older formulation versus a new (to-be-marketed) formulation 
  • All types of formulations and batches used in each clinical study 
  • In vitro data: 
  • Dissolution at different dosage strengths 
  • Solubility at different pH values  
  • Permeability across Caco-2 cells 
  • Bioanalytical methods for parent drug and metabolite for all clinical studies 
  • Bioanalytical methods for immunogenicity evaluation 

The FDA, through its 2019 bioanalytical template guidance requested tabular summaries of bioanalytical information for all clinical studies in a program (not just biopharmaceutics studies). This includes tables containing bioanalytical method life cycle information, summary method performance, and summary of method modifications and cross-validation results. The completion of these tables is contingent on finalized bioanalytical reports for all clinical studies and requires an in-depth understanding of the bioanalytical data. Ultimately, the information on formulations and bioanalytical methods presented in 2.7.1 allow regulatory reviewers to trust the PK data summarized in the next section, 2.7.2.  

Section 2.7.2: Translating Clinical Pharmacology Data into Regulatory Insights  

Section 2.7.2 of CTD Module 2 provides an overall view of clinical pharmacology studies as well as any other studies that have collected PK or PD data. Additionally, in vitro studies performed with human cells, tissues, or biomaterials that are pertinent to PK processes are included. This section generally provides a tabular listing of all clinical pharmacology studies together with a narrative description of the relevant features and outcomes of each of the critical individual studies that provided in vitro or clinical data and information relevant to PK, PD, and PK/PD relationships. Frequently, PK information presented in this section includes dose proportionality, accumulation, and time to reach steady state. Examples of content that may be summarized in Section 2.7.2 include the following: 

  • Drug-drug interaction (DDI) evaluation comparing the PK of a drug with or without coadministration of a strong cytochrome P450 (CYP)3A4 inhibitor 
  • Exposure-response modeling and population PK (popPK) analyses integrating multiple different studies  
  • Special studies (e.g., microbiology or immunogenicity) 

This section, along with 2.7.1 of CTD Module 2, translates quantitative science into clinical decision-making: dose to achieve safe and therapeutic exposure, need to / how to adjust dose for organ impairment, administration in regard to food, and what drug interactions (if any) warrant caution or contraindication. A large portion of the label is based on clinical pharmacology studies, and the information presented in 2.7.1 and 2.7.2 often directly corresponds to the label, and thus also to dosing patients in the clinical setting.

Key Challenges in Authoring Sections 2.7.1 and 2.7.2  

Authoring Sections 2.7.1 and 2.7.2 is often a substantial effort, depending on the type and amount of content included. For example, Section 2.7.2 can be hundreds of pages including tables if there are a large number of studies and/or if there are special studies with microbiology and immunogenicity data included. A single 2.7.2 section may integrate dozens of studies (clinical and human biomaterials) and thousands of PK observations and model parameters. Additionally, the bioanalytical tables recommended to be included in Section 2.7.1 per FDA guidance can be very lengthy, especially in programs with numerous bioanalytical and validation reports. Compiling these tables requires specialized bioanalytical expertise to not only locate the right data to include in the right place within the tables, but also to verify that all numbers have been confirmed against source records and that no information is missing.  

Although accurately reporting scientific findings is paramount when summarizing biopharmaceutics and clinical pharmacology data in a regulatory submission, writing in a style to easily facilitate review is also important. Beginning paragraphs with key takeaways from the data, cross-linking to different sections when possible, instead of repeating information, and choosing the most relevant tables and figures to include are all necessary to streamline review for 2.7.1 and 2.7.2 sections. Ensuring consistency with other sections such as section 2.5 (Clinical Overview) and module 5 is also an important part of the authoring process. 

How Sections 2.7.1 and 2.7.2 Support Other CTD Components  

The content of 2.7.1 and 2.7.2 helps provide a foundation for other sections to build upon, including the Integrated Summary of Safety (ISS), Integrated Summary of Efficacy (ISE), and Integrated Summary of Immunogenicity (ISI), which are generally included in module 5. For both ISS and ISE, drawing on pertinent clinical pharmacology data including PK, popPK, and PD results can be key in clarifying the exposure-response relationship of a drug. In the ISI, bioanalytical and PK information on immune response (i.e., anti-drug antibodies [ADAs]) aligns with the information summarized in 2.7.1 and 2.7.2, respectively. Because ADAs can alter the PK, PD, safety, and efficacy of a drug, describing these relationships in the ISI is necessary to fully characterize the impact of immune response on a drug. 

Best Practices for Writing Clear, Reviewer-Friendly Summaries 

A good guideline for creating a quality CTD includes: 

  1. Starting with Key Takeaways – Summarize the most critical findings upfront.  
  1. Using Cross-Referencing – Link to other sections (e.g., 2.5 Clinical Overview) instead of repeating data.  
  1. Choosing Relevant Tables and Figures – Avoid overwhelming reviewers with unnecessary visuals.  
  1. Ensuring Consistency – Align with Module 5 and other sections for seamless review.  
  1. Writing for Review Efficiency – Use clear headings, concise language, and logical flow.  

Why Expertise Matters 

Sections 2.7.1 and 2.7.2 of CTD Module 2 form the backbone of many NDA submissions. Authoring these sections requires mastery of PK/PD principles and strategic insight to know how findings influence labeling and clinical use beyond just a summary of results. Behind every concise paragraph lies an immense amount of data, interpretation, and scientific expertise.  

To learn more about CTD, regulatory submissions, technical documentation, and other ways we can support your drug development and clinical pharmacology studies, visit www.allucent.com or ask us your questions

Relevant articles 

eCTD Submission: FDA Guidelines & Common Mistakes 

9 NDA Submission Tips for a Successful Application 

References

ICH – M4E(R2): The CTD – Efficacy Guidance for Industry, 2017. https://www.fda.gov/media/93569/download 

FDA – Bioanalytical Methods Templates Technical Specifications Document, 2019. https://www.fda.gov/media/131425/download 

About the Author

Rachel Rozakis, PharmD, Senior Clinical Pharmacologist at Allucent

Rachel Rozakis, PharmD, has extensive experience in clinical pharmacology and scientific communications. She brings a strong track record of cross-functional contributions across therapeutic areas including neurology, cardiology, dermatology, and oncology. Rachel has played a key role in authoring and contributing to a wide range of regulatory and clinical documents, such as Investigational New Drug (IND) applications, New Drug Application (NDA) submissions, clinical study reports (CSRs), study protocols, and QT summary reports. Her scientific writing expertise supports regulatory strategy and drives the development of high-quality documentation essential for drug development and approval. 


Allie Story, Clinical Pharmacology, Modeling and Simulation Intern at Allucent

Allie Story is a PharmD candidate at the University of North Carolina Eshelman School of Pharmacy. She brings over four years of experience in pharmaceutical manufacturing and research and development, with a focus on oncology and cell and gene therapy. At Allucent, Allie contributes to clinical pharmacology consulting projects through technical writing and scientific support, applying her background in drug development to help advance innovative therapies 

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