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Drug Delivery to Cancer: Targeting the Tumor Microenvironment 219
In summary, stimuli-responsive nanoparticles represent a
highly explored and promising approach in smart drug delivery systems, providing efficient and targeted cancer therapy while mini­mizing adverse effects.
5.1.1 Endogenous Stimulus-Responsive Drug Delivery Systems (DDSs)
When compared to healthy tissues, tumor tissues have unique biological traits such as elevated redox potential, low pH, hypoxia, and overexpression of certain enzymes. Taking advantage of these variations, redox-, pH-, and enzyme-responsive DDSs have been carefully created for tailored release and intelligent drug loading, thereby improving therapeutic efficacy.
(a) pH-Responsive DDSs
The breaking of acid-labile bonds and structural or solubility
alterations of polymers with ionizable functional groups are the basis for the construction of pH-responsive DDSs. These systems exploit the pH gradients found at various levels within the body, including organ, tissue, and cellular levels, to achieve targeted drug delivery and release.
• Polymer-Based Strategy: Polymers with ionizable groups (such as amines and
carboxylic acids)
undergo protonation or deproto­nation in response to pH changes, altering their solubility or structure to release drugs.
• Acid-Labile Bonds: Acidic settings can cause chemical such as
hydrazone, ester, imine, oxime, and ketal to cleave,
bonds,
allowing medications specifically designed for acidic environ­ments to be released.
The pH gradients across the body provide multiple targets for
these DDSs:
1. Organ Level: The gastrointestinal tract (GIT) features signifi­cant pH variations, from the acidic stomach to the alkaline intestines. pH-responsive polymers can protect drugs in the stomach and release them in the intestines, aiding in colorectal cancer therapy.
2. Tissue Level: The extracellular pH of tumor microenvironments is slightly acidic (pH 6.7–7.1) compared to healthy tissue (pH 7.4). DDSs can be engineered to respond sharply to these subtle pH differences for targeted drug release. For example, ultra-pH-sensitive (UPS) nanotechnology uses block copolymers with ionizable tertiary amine groups for precise pH-triggered drug release and cancer theranostics.
3. Cellular Level: The pH within endocytic organelles (early endosome, late endosome, lysosome) is much lower than in the cytoplasm. pH-responsive DDSs can trigger drug release in these acidic compartments, ensuring organelle-specific
220 Sonal Saxena et al.
activation. These systems are also designed to facilitate endo­somal escape and cytosolic delivery, particularly for macromo­lecules such as proteins and siRNA.
(b) Redox-Responsive DDSs
The redox environment within tumor tissues differs signifi-
cantly from that of normal tissues, primarily due to elevated levels of glutathione (GSH) and reactive oxygen species (ROS). Redox­responsive DDSs exploit these differences to achieve targeted intra­cellular drug delivery:
• Disulfide Bonds: Disulfide bonds are commonly used due to their fast cleavage by GSH, enabling the release of drugs within the reductive environment of tumor cells.
• ROS-Responsive DDSs: These systems utilize linkages like thio- ketal, thioether, peroxalate ester, and boronic ester that respond to high ROS levels in tumor tissues, triggering drug release.
(c) Enzyme-Responsive DDSs
Tumors often overexpress specific enzymes, such as proteases, phospholipases, and peptidases, which can be harnessed as triggers for enzyme-responsive DDSs. These systems can function in several ways:
5.1.2 Exogenous Stimulus-Responsive DDSs
• Enzyme-Triggered Drug Release: Nanocarriers can be con-
structed with enzyme-sensitive scaffolds or linkers that release drugs upon enzymatic cleavage.
• Prodrugs and Ligand Activation: Enzyme-sensitive bonds can
activate prodrugs, ligands, or probes specifically in tumor environments.
• Detachable PEGylation Layers: Enzyme-activated detachable
PEG layers
can enhance
blood circulation and increase cellular
internalization at target sites.
Challenges include the similarity in active sites and catalytic mechanisms among enzymes and the variability in enzyme expres­sion levels within different tumors and individuals.
Exogenous stimuli-responsive DDSs offer precise control over drug release by utilizing external triggers such as light, tempera­ture, ultrasound, magnetic fields, and electric fields. These systems provide targeted and controlled drug delivery, maximizing thera­peutic efficacy while minimizing side effects.
(a) Te
mperature-Responsive D
Temperature-responsive
DSs
DDSs release drugs in response to temperature changes, particularly in the range of 40 °C or higher. Common materials include poly(N-isopropyl acrylamide)
Drug Delivery to Cancer: Targeting the Tumor Microenvironment 221
(PNIPAM) and poly(2-oxazoline)s (POxs), which undergo phase changes at specific temperatures to release their cargo.
(b) Light-Responsive DDSs
Light-responsive DDSs, particularly those activated by near­infrared (NIR) light, allow remote control over drug release through photoisomerization, photocleavage, and photothermal/ photodynamic effects. These systems can achieve deep tissue pene­tration and precise control over irradiation power and exposure time. Examples include selenium-containing polymeric nanoparti­cles and bifunctional light-responsive platinum nanocomplexes that synergistically combine photothermal and chemotherapy.
(c) Ultrasound-Responsive DDSs
Ultrasound-responsive DDSs leverage high-frequency ultra­sound waves to trigger drug release,
enhance tumor
permeability, and improve drug accumulation at tumor sites. They also utilize physical effects such as cavitation and local hyperthermia to achieve targeted delivery.
(d) Electric Field-Responsive DDSs
Electric field-responsive DDSs use conductive polymers and materials to control drug release through electrochemical pro­cesses. Electroporation can also enhance drug permeability through cell membranes, facilitating the delivery of macromolecules like proteins and genes.
5.2 Receptor­Ligand-Based Smart DDS
(e) Magnetic Field-Responsive DDSs
Magnetic field-responsive DDSs incorporate magnetic materi­als like superparamagnetic iron oxide nanoparticles (SPIONs) to achieve targeted drug delivery under an external magnetic field. These systems can also generate local hyperthermia for on-demand drug release.
(f) Other Exogenous Stimuli-Responsive DDSs
Other stimuli-responsive DDSs include systems triggered by high-energy radiation (e.g., X-rays) and other physical or chemical stimuli. These systems offer opportunities for overcoming biological barriers, reversing multidrug resistance, and integrating novel therapeutic modalities such as photodynamic and photother­mal therapy.
Targeted delivery is a crucial aspect of modern smart drug delivery systems (DDSs). Tumor-targeting drug delivery can be achieved through two main strategies: passive targeting and active targeting. While passive targeting has been the focus of many studies, its efficiency, particularly the enhanced permeability and retention
222 Sonal Saxena et al.
(EPR) effect, has come under scrutiny. Li et al. [8] demonstrated that receptor-mediated targeting (active targeting) contributed more to the accumulation of nanoparticles (NPs) in tumors over time compared to the EPR effect. They highlighted that NP trans­portation through gaps between endothelial cells in tumor blood vessels was a significant factor in the EPR effect. However, Sindhwani et al. recently found that these gaps covered only
0.048% of the blood vessel surface area, suggesting that passive targeting al in tumors. This
one cannot account for the observed NP accumulation
has shifted the focus toward a combination of passive and active targeting in cancer nanomedicine research. Active targeting, however, faces challenges such as unwanted interactions with non-target sites. This can result in on-target off-tumor effects through both nonspecific and selective interactions with target and non-target locations expressing pertinent receptors at varying degrees. Nume problems. To Wang et al. [ nanoparticles that
rous tactics have been put out to address these
improve tumor penetration and cellular absorption,
18], for instance, created tumor acidity-responsive
expose the targeted ligand in the acidic tumor
microenvironment while shielding it from systemic circulation.
5.2.1 The Effect of Spatial
Distribution of
Ligands on Drug Delivery
Traditionally, ligands are attached to drug-delivery vehicles like liposomes, nanoparticles, or micelles in required quantities, and increasing ligand density can enhance targeting effectiveness to a certain extent. However, ligands are typically randomly distributed on the vehicle surface due to their symmetrical structure, which limits receptor recognition and ligand utilization. High ligand density can also lead to protein corona formation with plasma­binding proteins during blood circulation, causing off-target effects, rapid clearance, and increased immunogenicity. For instance, folic acid-modified liposomes can adsorb large amounts of natural IgM post-injection, resulting in unexpected off-target effects.
By adjusting
the multivalent ligands’ presentation mode to produce an uneven ligand distribution, these problems can be mitigated. This strategy improves specificity, targeting efficiency, and ligand utilization. Lipid-based vesicles containing HER-2-tar­geting short peptides (KCCYSL) were created by [
13].
These vesi­cles, often referred to as sticky vesicles, partition ligands inside the lipid phase-separated domain in the acidic tumor interstitium (pH 6.0–7.0) and distribute them uniformly throughout their surface during circulation (pH 7.4). As a result, there is an increase in local ligand density and target tissue recognition and a decrease in interactions with normal cells that have low receptor expression. This leads to low reactivity in the circulation and high reactivity even in cells with few target receptors. Similar to this, Poon et al. used hydrophilic/hydrophobic interaction to create self­assembling linear dendritic polymers (LDPs). Their experiments
Drug Delivery to Cancer: Targeting the Tumor Microenvironment 223
showed that increasing ligand density did not linearly increase targeting effectiveness but reached saturation dynamics. Beyond a certain point, excess ligands in a small binding area caused steric binding interference, lowering binding energy. According to their research, concentrating on the precise modification of ligand clus­ter presentation on molecularly targeted NPs may have a major effect on cell targeting and result in the creation of more efficient targe
ted delivery systems.
5.2.2 Dynamic Strategies for Tumor Targeting
Dynamic tumor targeting strategies involve adaptable drug delivery systems capable of adjusting their properties to optimize drug release in response to specific conditions within the tumor micro­environment. Traditional approaches often fall short due to inade­quate circulation time, limited tumor specificity, and poor penetration into tumor tissues. To address these challenges, nano­particles (NPs) are engineered with tailored physicochemical prop­erties that ensure prolonged circulation in the bloodstream and enable rapid drug release upon encountering tumor-specific signals, such as acidic pH or overexpressed enzymes [
3].
(a) Size Shrinkage Targeting
Effective drug delivery relies on nanoparticles that can first accumulate around leaky blood vessels via the enhanced permeabil­ity and retention (EPR) effect and then penetrate deep into tumor tissues for optimal therapeutic efficacy [
13, 15]. Research indicates
that NPs around 100 nm in diameter achieve optimal circulation and tumor accumulation, while smaller NPs (<30 nm) demon­strate superior penetration into tumor interstitial spaces [
2, 4, 11, 17]. Size shrinkage targeting addresses this by integrating smaller
NPs within larger carriers that initially maintain a size conducive to circulation and accumulation but shrink upon exposure to specific tumor signals. For instance, strategies involving MMP-2 cleavable peptides have shown promising results, enabling NPs to transition from larger to smaller sizes in response to MMP-2 activity, and facilitating deeper tumor penetration [
6, 7].
(b) Surf
Surface
ace Charg
charge plays a crucial role in determining NP interac-
e Switchable Targeting
tions with biological systems. NPs with neutral or negative charges exhibit prolonged circulation by avoiding interactions with blood proteins and immune cells. However, once at the tumor site, pH-responsive NPs can undergo a charge conversion (from nega­tive to positive) in the slightly acidic tumor microenvironment (pH ~6.8). This conversion enhances NP binding to negatively charged cell membranes, promoting cellular uptake and internali­zation. Key pH-responsive moieties, such as CDM and DMMA, enable this charge switch, enhancing the therapeutic efficacy of NPs by improving their tumor-specific interactions [
5, 9, 14].
224 Sonal Saxena et al.
(c) Surface Ligand Activatable Targeting
Active targeting employs specific ligands on NP surfaces to bind receptors or antigens overexpressed by cancer cells, enhancing selective uptake and internalization into tumor cells. However, conventional ligand-targeting strategies often suf fer from non-specific interactions with healthy tissues during circulation. To mitigate this, smart ligand-targeting strategies shield these ligands during circulation and activate them upon reaching the tumor site. For example, stimuli-responsive modifications of cell­penetrating peptides (CPPs) allow for controlled activation of ligand exposure in response to tumor-specific cues, improving the targeting precision and therapeutic efficacy of NPs [

6 Challenges and Opportunities for Targeted Delivery to Cancer Cells

• Complexity of the TME: The TME’s heterogeneity and dynamic
nature pose challenges for targeted therapies, requiring compre­hensive approaches that consider interactions between different components.
• Resistance Mechanisms: TME-mediated resistance mechanisms
can limit the efficacy of therapies. Understanding these mechan­isms is crucial for developing combinatorial approaches that enhance treatment outcomes.
10, 18].

7 Future Directions

8 Conclusions

• Combination Therapies: Integrating therapies that target multi-
ple components of the TME (e.g., immune cells, vasculature, ECM) holds promise for overcoming resistance and improving patient outcomes.
• Enhancing Specificity and Efficacy
improve the specificity and efficacy of therapies by optimizing their binding affinity, internalization efficiency, and therapeutic payload delivery.
• Personalized Medicine:
on individual tumor characteristics and patient immune profiles could optimize treatment efficacy.
TME represents a critical determinant of cancer progression and therapeutic response. Targeted therapies aimed at disrupting TME interactions are advancing rapidly, offering new avenues for
Tailoring
: Continued
TME-targeted therapies based
research aims to
Drug Delivery to Cancer: Targeting the Tumor Microenvironment 225
improving cancer treatment outcomes and patient survival. The field is moving toward developing site-directed anti-cancer strate­gies based on selective receptor expression on tumor cells and vasculature. Synthetic peptides mimicking ligands for tumor over­expressed receptors represent a promising avenue for developing next-generation cancer therapeutics. Continued research and clini­cal development are essential to harnessing the full potential of TME-
targeted therapies in oncology. The ongoing research aims to optimize therapeutic efficacy while minimizing side effects, paving the way for innovative and personalized cancer treatments in the future. The ability of tumor-homing
peptides to deliver therapeutic cargo directly to target cells marks a significant advancement in the evolution of cancer therapy strategies. Tumor-homing peptides represent a promising approach in perso­nalized medicine for cancer tre
atment and diagnostics, leveraging their ability to selectively target and interact with tumor cells based on unique molecular markers. The advancement of nanotechnol­ogy has indeed positioned nanoparticles as
a promising candidate for controlled drug delivery systems (DDS). These nanoscale car­riers offer several unique advantages that make them suitable for precise, efficient, and safe drug delivery, particularly in the context of complex diseases such as can
cer. Continued research and clinical development are expected to expand their applications and improve outcomes for cancer patients.

References

1. Allen TM (2002) Ligand-targeted therapeutics in anticancer therapy. Nat Rev Cancer 2(10): 750–763
2. Cabral H, Matsumoto Y, Mizuno K, Chen Q, Murakami M, Kimura M, Terada Y, Kano MR, Miyazono K, Uesaka M (2011) Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size. Nat Nanotechnol 6(12):815–823
3. Chauhan VP, Jain RK (2013) Strategies for advancing cancer nanomedicine. Nat Mater 12(11):958–962
4. Dreher MR, Liu W, MW, Yuan F, Chilkoti A (2006) Tumor vascu­lar permeability, accumulation, and penetration of macromolecular drug carriers. J Natl Cancer Inst 98(5):335–344
5. Feng T, Ai X, An G, Yang P, Zhao Y (2016) Charge-convertible carbon dots for imaging­guided drug delivery with enhanced in vivo cancer therapeutic efficiency. ACS Nano 10(4):4410–4420
6. Han M, Huang-Fu M-Y, Guo W-W, Guo N-N, Chen J, Liu H-N, Xie Z-Q, Lin M-T, Wei Q-C, Gao J-Q (2017) MMP-2-sensitive HA
Michelich CR,
Dewhirst
end-conjugated poly (amidoamine) dendri­mers via click reaction to enhance drug pene­tration into solid tumor. ACS Appl Mater Interfaces 9(49):42459–42470
7. Li H-J, Du J-Z, Du X-J, Xu C-F, Sun C-Y, Wang H-X, Cao Z-T, Yang X-Z, Zhu Y-H, Nie S (2016) Stimuli-responsive clustered nanoparticles for improved tumor penetration and therapeutic efficacy. Proc Natl Acad Sci 113(15):4164–4169
8. Li R, Zheng K, Yuan C, Chen Z, Huang M (2017) Be active or not: the relative contribu­tion of active and passive tumor targeting of nanomaterials. Nanotheranostics 1(4):346
9. Liu D, Yang F, Xiong F, Gu N (2016) The smart drug delivery system and its clinical potential. Theranostics 6(9):1306
10. Liu Z, Xiong M, Gong J, Zhang Y, Bai N, Luo Y, Li L, Wei Y, Liu Y, Tan X (2014) Legumain protease-activated TAT-liposome cargo for targeting tumours and their microen­vironment. Nat Commun 5(1):4280
11. Perrault SD, Walkey C, Jennings T, Fischer HC, Chan WCW (2009) Mediating tumor
226 Sonal Saxena et al.
targeting efficiency of nanoparticles through design. Nano Lett 9(5):1909–1915
12. Schattling P, Jochum FD, Theato Multi-stimuli responsive polymers–the all-in­one talents. Polym Chem 5(1):25–36
13. Sempkowski M, Zhu C, Menzenski MZ, Kev­rekidis IG, Bruchertseifer F, Morgenstern A, Sofou S (2016) Sticky patches on lipid nano­particles enable the selective targeting and kill­ing of untargetable cancer cells. Langmuir 32(33):8329–8338
14. Sun C, Liu Y, Du J, Cao Z, Xu C, Wang J (2016) Facile generation of tumor-pH-labile linkage-bridged block copolymers for chemo­therapeutic delivery. Angew Chem Int Ed 55(3):1010–1014
15. i Sun Q, Radosz M, Shen Y (2012) Challenges
n design of translational nanocarriers. J Con-
trol Release 164(2):156– 169
P (2014)
16. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249
17. Wang J, Mao W, Lock LL, Tang J, Sui M, Sun W, Cui H, Xu D, Shen Y (2015) The role of micelle size in tumor accumulation, penetra­tion, and treatment. ACS Nano 9(7): 7195–7206
18. Wang
T, Wang D, Liu J, Feng B, Zhou F, Zhang H, Zhou L, Yin Q, Zhang Z, Cao Z (2017) Acidity-triggered ligand-presenting nanoparticles to overcome sequential drug delivery barriers to tumors. Nano Lett 17(9): 5429–5436
Chapter 11
Biosensor-Based Drug Delivery Systems: Innovations, Applications, and Future Perspectives
Disha Pant, A. H. Ahmad, and Kamal Pant
Abstract
Recent advancements in biosensor design and sensing effectiveness should be integrated with research on responsive drug delivery systems to enhance health management and ensure patient compliance. Many illnesses require continuous monitoring to enable timely intervention. Physicochemical changes in the body can indicate the onset of illness before symptoms appear. Despite diagnostic and prognostic biosensors, medical interventions still face challenges. Delayed detection can reduce therapeutic efficacy, and conven­tional treatments may cause side effects such as tissue damage and hepatic and renal toxicity. Drug delivery systems offer a way to minimize side effects and improve patient adherence. Chronic illnesses necessitate ongoing monitoring and effective treatment strategies.
Designing responsive systems that react to physicochemical changes can enhance therapeutic outcomes. Integrating biosensors with drug delivery in implantable closed-loop systems allows for timely therapeutic interventions triggered by illness biomarkers. Proper biomarker selection is crucial for accurate diagnosis and effective responsive drug delivery. Detecting illness early based on biomarker levels can tailor therapeu­tic dosing to the severity of physiological changes. This review explores various biosensors and drug delivery systems, highlighting challenges and future prospects for their integration in detecting and managing chronic illnesses.
Key words Biosensor, Drug, Analyte, Nanoparticle, Artificial intelligence

1 Introduction

Targeted drug delivery is the crux of precise drug administration in humans and animals. It plays a crucial role in drug delivery system by providing a real-time, accurate, and reliable information about the physiological state of the patient and monitor various para­meters such as drug levels in patient’s body, altered levels of bio­markers, body pH, temperature, and other relevant parameters to ensure effective drug delivery and precision medicine. While the application of precision medicine is currently more focused on humans, its concepts are equally applicable in the treatment of veterinary patients.
227
228 Disha Pant et al.
In traditional delivery system, a drug to be effective needs regular administration and continuous monitoring. The challeng­ing part in therapy of diseases like cardiovascular dysfunctions, diabetes mellitus, and cancers is monitoring of fluctuating in blood pressure levels of lipids, sugars and cancerous cells in mitotic phase of, need to be monitored regularly for titration of dose. A biosensor is a device that combines a biological element with a transducer to detect and measure a specific biological or chemical analyte. It converts the biochemical signals produced by interac­tions between the biological element and the target analyte into measurable electrical, optical, or other quantifiable signals. Biosensor-integrated drug delivery systems have been studied exhaustively for therapeutics of lifestyle ailments like cardiovascular diseases, diabetes mellitus, and cancer.
Biosensors can detect changes in pH and temperature, which are critical parameters in certain drug delivery applications. For instance, pH-sensitive biosensors can be used in targeted drug delivery systems to release drugs in response to specific pH condi­tions in a particular tissue or organ.
Biosensors enable real-time monitoring and data collection, allowing for personalized medicine approaches. By tracking patient-specific parameters, such as genetic factors or physiological responses, biosensors can help optimize drug delivery and tailor treatment plans to individual patients.
Overall, biosensors in drug delivery systems provide valuable insights into patient health, drug efficacy, and treatment optimiza­tion. They enhance precision, control, and patient outcomes by enabling real-time monitoring and feedback, thereby revolutioniz­ing the field of drug delivery.

2 Materials

Biosensors are analytical devices composed of two main compo­nents: a bio-recognition element and a transducer (Fig.
1). The
bio-recognition element is the analyte and bioreceptor. The
Fig. 1 Functional components of a biosensor