Factors that reduce production cost
The CoGs mainly includes fixed assets, operating expenses, raw materials, and consumables. Based on the actual
production model analysis, GenScript ProBio has established a comprehensive cost estimation system. The model
encompasses various production costs such as raw materials (media, substrates, and consumables), equipment and
facilities, quality control, labor, and energy/environmental costs. According to the model, the primary ways to reduce
production costs are ranked by effectiveness as follows: increasing upstream production yields, expanding the
production scale, and substituting costly media and materials with more economical alternatives.
a.Increasing upstream production yields
Increasing production yield is the most efficient way to reduce
CoGs. As production yield increases, fixed costs are spread across
a greater number units of DS, reducing the cost on a per-unit. As
shown in Figure 2, increasing production yield can rapidly decrease
the production CoGs per unit of DS. It's worth noting that there is
an exponential relationship between product yield and CoGs per
unit of DS. When product yield doubles, CoGs per unit of DS can
decrease by up to 40%. In late-stage process development, ProBio
aims to increase production yield while ensuring the product
quality remains comparable. This is achieved by methods such as
optimizing bioreactor process parameters, optimizing feeding
strategy, and implementing intensified fed-batch processes to
rapidly increase upstream process yields.
Fig 2 Upstream yield and production
costs (The data is generated from
ProBio's internal cost model).
In Figure 2, the x-axis represents titer of upstream process. Y-axis represents the CoGs per unit of drug substance with
different upstream titer. The CoGs per unit of drug substance at an upstream process titer of 2 g/L is set as 100% for
baseline
The easiest way to increase production yield is to perform process parameter optimization. Parameters like pH, tem-
perature, culture duration, feeding volume, and feed composition should be optimized to ensure the cells are cultured
under proper physical parameters with sufficient nutrient supply. Table 2 shows the outcomes of the upstream devel-
opment of a late-stage clinical project transferred to GenScript ProBio. The process development team made significant
yield increases through optimizing feeding strategies (including feed composition and feeding volume). The yield
increased by 95% compared to the early-stage process. Under the same conditions, CoGs per unit DS decreased by
nearly 40%, while the quality parameters remained comparable to the Phase I process.
Table 2 Phase I process and optimized process comparison
Content
Phase I process
Optimized process
Titer (g/L)
3.9
81
7.6
79
Harvest Viability (%)
CEX Main Peak (%)
64.3
96.3
64.5
97.3
CE-SDS-NR Main Peak (%)
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