AQA AS Level Biology Paper 1, June 2024: Question 7
6 marks · Medium difficulty · Short Answer
Complete Figure 8 to show a monoclonal antibody attached to a drug, label one structural feature, and evaluate the effectiveness of an antibody-drug complex (ADC) in treating Hodgkin lymphoma using clinical trial data.
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Question text
07.1 A drug is delivered to diseased body cells by a monoclonal antibody. The monoclonal
antibody is attached to a drug to form an antibody–drug complex (ADC).
Figure 8
Complete Figure 8 to show a monoclonal antibody attached to the drug.
Label one structural feature of the monoclonal antibody in your drawing of the ADC.
[2 marks]
07.2 Scientists used a clinical trial to test an ADC designed to treat people diagnosed with
the cancer, Hodgkin lymphoma (HL).
In the clinical trial, the patients with HL:
• were selected at random
• had tumours of a similar size at the start of the trial
• received identical doses of the ADC.
Figure 9 shows some of the results from the clinical trial.
Figure 9
Use all the information to evaluate the effectiveness of the ADC in treating people with
HL.
Do not refer to statistical tests in your answer.
[4 marks]
Mark scheme
Show the mark scheme
Question Marking Guidance Mark Comments
1. ‘Y’-shaped (antibody) linked to rectangle with 1. Accept ‘Y’ shape
exposed arms of ‘Y’; with 4 chains touching
For example anywhere on the
‘constant’ region of
the antibody.
2. Disulfide bridge/bond
OR
Antigen binding site
OR
Variable region
07.1 (2 x
OR AO1)
Non variable/constant region
OR
Light chain
OR
Heavy chain
OR
Hinge region
OR
Polypeptide;
(‘Effective’ ideas) For four marks, at
least ‘one effective’
1. (ADC) removed (tumours) in 32/group 1
idea and at least one
(patients)
‘not effective’ idea
OR
Accept people for
(ADC) is (cancer) cure in 32/group 1 (patients); patients
2. (ADC) reduced (the size of tumours) in 40/group
1. Accept not
detectable or
OR
(ADC) reduced (the size of tumours) 72/group1 destroyed or digested
and group 2; for removed
2. Accept positive
(‘Not effective’ ideas) effect or is effective or
works against for
3. Unknown effect (of ADC) in 28 patients reduced
OR
(Suspect ADC) did not work in 28 patients; 4 max
07.2 (4 x
4. Unknown effect (on tumours) after 3 months
AO3)
OR
Don’t know if (tumours) continue decreasing (in
size) after 3 months
OR
Don’t know if (tumours) grow (again) after 3
months;
5. Accept a
description of
5. No (information from a) control (group of
placebo, eg
patients)
non-active drug
OR
5. Ignore fake drug for
No placebo (drug used) placebo
OR 6. Ignore references
No antibody alone (used); to gender or age or
other health issues
6. (Only) small sample size;
How to answer it
Antibody-Drug Complexes & Clinical Trial Evaluation
What this question tests
This question assesses your knowledge of monoclonal antibody structure and function (specifically antibody-drug conjugates) combined with data analysis and the critical evaluation of clinical trials. You must demonstrate AO1 recall of antibody architecture and AO3 skills in interpreting experimental data, recognizing flaws in trial design (such as lack of control groups and sample size limitations), and balancing supportive evidence against missing data.
Drawing and Labeling an Antibody-Drug Complex (ADC)
✅ Correct Answer Structure
- Drawing: A distinct 'Y'-shaped structure clearly linked or attached to the given rectangle (representing the drug).
- Labeling: Correctly identifying one structural feature, such as the antigen-binding site, variable region, constant region, heavy chain, light chain, disulfide bridge, or hinge region.
💡 Key Knowledge
- Monoclonal antibodies have a specific quaternary structure made of four polypeptide chains (two heavy, two light) held together by disulfide bonds.
- The variable regions at the ends of the 'Y' form unique antigen-binding sites complementary to specific antigens on diseased cells.
🧠 Exam Technique
Keep your antibody drawing simple and schematic. A classic 'Y' shape is universally accepted. Ensure your label line points precisely to the correct structural feature (e.g., the tip of the 'Y' for the variable region/antigen-binding site).
❌ Common Errors
- Failing to attach the antibody clearly to the drug box.
- Vague labeling lines that point ambiguously to the whole molecule rather than a specific feature.
Evaluating Clinical Trial Effectiveness
✅ Correct Answer Breakdown
To achieve full marks (4 max), you must provide a balanced answer containing at least one 'effective' point AND at least one 'not effective / limitation' point based on the data:
- Effective: Tumours completely disappeared in 32 patients (Group 1).
- Effective: Tumours decreased by over half in 40 patients (Group 2) — meaning a total of 72 patients showed positive reduction.
- Limitations: Unknown effect in the remaining 28 patients (did it fail or were they lost to follow-up?).
- Limitations: Unknown long-term effect after 3 months (do tumours grow back?).
- Design Flaw: No control group / no placebo used for comparison.
- Design Flaw: Small sample size (only 100 patients total).
💡 Key Knowledge
- Evaluating experimental data requires looking at both successes and methodological shortcomings.
- A valid clinical trial comparison requires a control group receiving a placebo or standard treatment to isolate the drug's true effect.
🧠 Exam Technique
Read the stem constraints carefully: Do not refer to statistical tests. Split your answer into two distinct columns or paragraphs in your head: evidence supporting effectiveness vs. weaknesses in trial design or results. Ensure you hit a mix of positive and negative points to unlock the 4-mark ceiling.
❌ Common Errors
- Giving a one-sided argument (only listing successes or only listing flaws) which caps your marks at 2.
- Mentioning correlation/causation statistical tests like chi-squared or t-tests when explicitly forbidden by the question stem.
- Failing to calculate or state the combined total of successful outcomes (72 patients).
Topics
Biology · Practical skills · 3.2 Cells · Data analysis
Question and mark scheme from the AQA AS Level Biology examination, Paper 1, June 2024. QuestionVault is an independent revision resource; questions remain the copyright of the awarding body.