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2 Advancements andInnovations inCleft Surgery
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ERAS Protocol Innovations inCleft Patients
Postoperative pain control following cleft lip and palate repair has undergone signicant scrutiny in recent years. Enhanced Recovery After Surgery (ERAS) protocols
have become pervasive across surgical disciplines. ERAS was rst introduced in
2001 by a group in Northern Europe among patients undergoing colonic resection
with the goal of reducing postoperative morbidity in relation to pain [27]. Over the
last two decades, a multitude of ERAS protocols have since been utilized to improve
patient outcomes across various postoperative surgical populations. ERAS protocols
include patient-centered, evidence-based pain management plans organized by multidisciplinary care teams. Recent advances in ERAS protocols for cleft lip and palate
postoperative patients have been tailored to minimize the use of opioids and subsequently decrease the length of stay and complication rates. An ERAS protocol that
seeks to minimize the use of opioids for postoperative palatoplasty patients was
described by Hush etal. This protocol included: Gabapentin 10mg/kg/dose q8, acetaminophen 10mg/kg/dose q4 PRN, and Ketorolac 0.5mg/kg/dose IV q6 PRN for
severe pain (max of 3 doses). Alternatively, a regime of Ibuprofen 10mg/kg/dose q6
for mild–moderate pain was available. Postoperatively, a daily regimen of gabapentin, acetaminophen, and ibuprofen were prescribed as needed [28]. Overall application of ERAS led to a 95.7% reduction in narcotic administration and a 31.7%
decrease in LOS when compared to controls. Our group utilized an ERAS protocol
for palatoplasty patients that had a multimodality regime of Morphine 0.05–0.1mg/
kg IV q1 PRN and acetaminophen 10mg/kg IV q6 scheduled during the immediate
postoperative period. Depending on postoperative pain, acetaminophen or ibuprofen
10mg/kg PO q6 PRN (FLACC score 1–5) or oxycodone 0.1mg/kg PO q4–6 PRN
(FLACC pain score 6–10) was administered. Patients in the ERAS protocol received
signicantly less mg of morphine on postoperative Day 1 through 4 than those on the
ad lib pathway. Return visits to the hospital for pain management following primary
palatoplasty decreased from 7.1% to 0% with the ERAS protocol [29].
These recent studies indicate that while currently limited in the pediatric population, multimodal ERAS protocols can provide safe and effective pain control regimens for postoperative cleft patients while mitigating the need for opiates. These
protocols lead to decreased morbidity and shorter lengths of inpatient stay.
Conclusions
Cleft care continues to evolve both in technique and in management. Nasal oor
closure and the use of tissue augmentation to palatal repair have given the surgeon
a greater armamentarium while improving patient outcomes and quality of life. The
use of alternatives to iliac crest bone grafting, namely rhBMP2 and demineralized
bone matrix, offers a tantalizing option that would preclude donor site morbidity.
Lastly, ERAS protocols have minimized the use of opioids and demonstrated to
improve pain management and shorten length of stay.

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R. Keyho et al.
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ap closure of the hard palate at the time of lip repair on the alveolar gap and other maxillary

2 Advancements andInnovations inCleft Surgery
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dimensions. Cleft Palate Craniofac J. 2014;51(1):43–8; [cited 2022 Mar 6]. https://pubmed.
ncbi.nlm.nih.gov/23651320/.
17. Mann RJ, Fisher DM.Bilateral buccal aps with double opposing z-plasty for wider palatal
clefts. Plast Reconstr Surg. 1997;100(5):1139–43; [cited 2022 Mar 14]. https://pubmed.ncbi.
nlm.nih.gov/9326774/.
18. Franco D, Rocha D, Arnaut M, Freitas R, Alonso N.Versatility of the buccinator myomucosal
ap in atypical palate reconstructions. J Craniomaxillofac Surg. 2014;42(7):1310–4; [cited
2022 Mar 16]. https://pubmed.ncbi.nlm.nih.gov/24787083/.
19. Ligneres A, Anderson B, Alimi O, Cepeda A, Teichgraeber JF, Nguyen PD, Greives MR.Do
buccal aps improve velopharyngeal insufciency in conversion Furlow palatoplasty for
patients with cleft palate? Plast Reconstr Surg. 2022;8(9 Suppl):67–8; [cited 2022 Mar 16].
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553451/.
20. Qiu CS, Fracol ME, Bae H, Gosain AK.Prophylactic use of buccal fat aps to improve oral
mucosal healing following furlow palatoplasty. Plast Reconstr Surg. 2019;143(4):1179–83;
[cited 2022 Mar 15]. https://pubmed.ncbi.nlm.nih.gov/30921142/.
21. Whitehouse H, Schwaiger M, Nicholas R, Fallico N, Atherton DD.A cadaveric study of the
buccal fat pad: implications for closure of palatal stulae and donor-site morbidity. Plast
Reconstr Surg. 2020;146(6):1331–9; [cited 2022 Mar 24]. https://pubmed.ncbi.nlm.nih.
gov/33234964/.
22. Qamar F, McLaughlin MM, Lee M, Pringle AJ, Halsey J, Rottgers SA. An algorithmic
approach for deploying buccal fat pad aps and buccal myomucosal aps strategically in primary and secondary palatoplasty. Cleft Palate Craniofac J. 2022:105566562210848; [cited
2022 Mar 24]. https://pubmed.ncbi.nlm.nih.gov/35262434/.
23. Fahradyan A, Tsuha M, Wolfswinkel EM, Mitchell K-AS, Hammoudeh JA, Magee W.Optimal
timing of secondary alveolar bone grafting: a literature review. J Oral Maxillofac Surg.
2018;77(4):843–9; [cited 2022 Mar 24]. https://pubmed.ncbi.nlm.nih.gov/30576671/.
24. Makar KG, Buchman SR, Vercler CJ.Bone morphogenetic protein-2 and demineralized bone
matrix in difcult bony reconstructions in cleft patients. Plast Reconstr Surg Glob Open.
2021;9(6):e3611; [cited 2022 Mar 26]. https://pubmed.ncbi.nlm.nih.gov/34168938/.
25. Uribe F, Alister JP, Zaror C, Olate S, Fariña R.Alveolar cleft reconstruction using morphogenetic protein (rhbmp-2): a systematic review and meta-analysis. Cleft Palate Craniofac
J. 2020;57(5):589–98; [cited 2022 Mar 26]. https://pubmed.ncbi.nlm.nih.gov/31698953/.
26. Hammoudeh JA, Fahradyan A, Gould DJ, Liang F, Imahiyerobo T, Urbinelli L, etal. A comparative analysis of recombinant human bone morphogenetic protein-2 with a demineralized
bone matrix versus iliac crest bone graft for secondary alveolar bone grafts in patients with
cleft lip and palate. Plast Reconstr Surg. 2017;140(2):318e–25e; [cited 2022 Mar 26]. https://
pubmed.ncbi.nlm.nih.gov/28746285/.
27. Brown JK, Singh K, Dumitru R, Chan E, Kim MP.The benets of enhanced recovery after surgery programs and their application in cardiothoracic surgery. Methodist Debakey Cardiovasc
J. 2018;14(2):77–88; [cited 2022 Mar 28]. https://pubmed.ncbi.nlm.nih.gov/29977464/.
28. Hush SE, Brady C, Soldanska M, Williams JK.Expanded analysis of a modied enhanced
recovery protocol in cleft palatoplasty. Cleft Palate Craniofac J. 2020;57(10):1190–6; [cited
2022 Mar 28]. https://pubmed.ncbi.nlm.nih.gov/32567352/.
29. Moftt JK, Cepeda A, Ekeoduru RA, Teichgraeber JF, Nguyen PD, Greives MR.Enhanced
recovery after surgery protocol for primary cleft palate repair: improving transition of care.
J Craniofac Surg. 2021;32(1):e72–6; [cited 2022 Mar 28]. https://pubmed.ncbi.nlm.nih.
gov/32897976/.
47

Chapter 3
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Novel Cancer Immunotherapies
andMolecular Biomarkers inHead
andNeck Cancer
SarahAnneWong, NeerajaDharmaraj, VictoriaA.Manon, SimonYoung ,
andChiT.Viet
Introduction
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide, with over 60,000 new cases in the United States each year [1].
HNSCC includes distinct disease sub-types, each located in different anatomic locations, with different etiology, patient demographics, and molecular proles. Oral
squamous cell carcinoma (OSCC) is a distinct sub-type that has remained particularly treatment resistant. Even when compared to other subsets of HNSCC, such as
oropharyngeal cancer, OSCC remains one of the deadliest, without signicantly
improved outcomes in recent years. Furthermore, OSCC is on the rise. In the last
20years, the OSCC incidence has increased by two-thirds, most dramatically in
young patients, and has resulted in 400,000 new annual cases globally [2]. Of the
S. A. Wong
Oral and Craniofacial Sciences Graduate Program, School of Dentistry,
University of California, San Francisco, CA, USA
e-mail: Sarah.Wong@ucsf.edu
N. Dharmaraj · V. A. Manon
Bernard and Gloria Pepper Katz Department of Oral and Maxillofacial Surgery, The
University of Texas Health Science Center at Houston, School of Dentistry,
Houston, TX, USA
e-mail: Neeraja.Dharmaraj@uth.tmc.edu; Victoria.A.Manon@uth.tmc.edu
S. Young
Department of Oral and Maxillofacial Surgery, The University of Texas Health Science
Center at Houston, Houston, TX, USA
e-mail: Simon.Young@uth.tmc.edu
C. T. Viet (*)
Department of Oral and Maxillofacial Surgery, Loma Linda University School of Dentistry,
Loma Linda, CA, USA
e-mail: cviet@llu.edu
© The Author(s), under exclusive license to Springer Nature
Switzerland AG 2023
J. C. Melville et al. (eds.), Advancements and Innovations in OMFS, ENT, and
Facial Plastic Surgery, https://doi.org/10.1007/978-3-031-32099-6_3
49

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S. A. Wong et al.
30,000 Americans newly diagnosed with OSCC each year, half will die of this disease, resulting in approximately one death per hour [3]. This high mortality is compounded by signicant morbidity due to OSCC treatment that often results in
cosmetic and functional deformities affecting patients’ ability to eat, taste, speak,
and relate to others. Taken together, the signicant burden of this disease necessitates the development of improved diagnostic tools and targeted treatment options.
In 2001, the completion of the human genome project launched the era of personalized medicine. It was believed that the genetic code could be utilized to develop
specic biomarker panels for use in determining a patient’s individual cancer risk
and in identifying dysregulated molecular pathways with the ultimate goal of developing targeted therapies to address the disease. This approach has proved successful
in several cancer elds such as breast cancer, where commercially available genomic
tests have been used to predict patient risk of recurrence, guide treatment, and
improve patient survival, especially in young women with metastatic cancer [4].
Biomarkers have also served as a powerful tool for specic HNSCC sub-types
such as oropharyngeal cancer (OPSCC). Unlike OSCC, OPSCC is primarily caused
by the human papilloma virus (HPV) (>70% of cases). Since HPV-positive OPSCC
patients have a signicantly higher 3-year survival rate (82.4%) than their HPVnegative counterparts (57.1%), it has become standard-of-care for patients to be
tested for overexpression of p16, a biomarker for HPV infection, and risk-stratied
according to this marker [5]. Recent studies have also shown that therapies targeting
HPV-positive OPSCC can increase survival to 90% even in the setting of treatment
de-escalation [6]. In contrast, HPV does not play a signicant role in the etiology or
prognosis of OSCC, even in young nonsmokers [7], and no biomarker similar to p16
exists for OSCC.
OSCC biomarker research trails behind that of other cancers. Until recently,
there were no biomarkers available that effectively distinguished low- versus highrisk OSCC patients of the same stage. The need for OSCC biomarkers is highlighted
by the fact that up to 80% of new OSCC cases are early stage (I/II) without regional
lymph node involvement or distant metastasis [8]. However, despite early diagnosis,
the 5-year mortality risk for these patients remains at 40–60% [3, 8]. Treatment of
early stage I/II OSCC remains highly variable with treatment options ranging from
surgery alone to a combination of surgery plus adjuvant treatments such as elective
neck dissection (END), radiation (RT), chemoradiation (chemoRT), or immunotherapy. At present, patients’ risk of recurrence and mortality as well as their need
for adjuvant therapy has been determined solely by clinicopathologic features such
as tumor grade, depth of tumor invasion, margin status, the presence of perineural
invasion (PNI), or lymphovascular invasion (LVI). Unfortunately, these clinicopathologic features alone do not accurately determine disease risk. Ideal diagnostic tools
will need to combine both nonmolecular and molecular features in order to more
accurately predict individual risk and prescribe optimal treatment (Fig.3.1).
Immunotherapy offers a promising new modality for cancer treatment and has
become an emerging standard-of-care for many different types of cancer, including
melanoma, lung, and HNSCC [9]. Drugs of this class work by bolstering the host
immune response to promote tumor detection and destruction. Unlike conventional

3 Novel Cancer Immunotherapies andMolecular Biomarkers inHead andNeck Cancer
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Fig. 3.1 HNSCC patient risk has been determined solely by clinicopathologic features, which
include age, race, gender, tobacco history, alcohol use, histologic grade, tumor stage, perineural
invasion, lymphovascular invasion, and margin status. However, use of clinicopathologic features
alone has demonstrated poor prognostic success with a concordance (c)-index of 0.67. Notably, the
c-index has been shown to signicantly increase (as high as 0.915) when clinicopathologic features are combined with the patient’s molecular ngerprint
51
treatments, immunotherapy can potentially generate a specic and long-lasting antitumor effect. However, clinical success rates remain low (15–20%), and there is
signicant risk of systemic toxicity from immune-related adverse events (irAEs)
due to often-required high dose and frequency of treatment. Indeed, as the eld
moves toward combined immunotherapy and combinations of immune- and radiation therapy, the risk of severe and potentially fatal irAEs has increased. Thus, there
is signicant need for the development of innovative strategies that not only increase
the effectiveness of current immunotherapies but also reduce their potential systemic toxicities [9].
The tumor immune microenvironment (TIME) is the “front line” for tumor–
immune interactions and is the critical locus for immunotherapy activity. HNSCC,
caused either by HPV-infection or carcinogens, is known to have a highly immunosuppressive TIME. A large milieu of immune suppressive cells is known to be present, including myeloid-derived suppressor cells (MDSCs) that inhibit T-cell
activation and proliferation, regulatory T-cells (Treg) that suppress effector T-cells,
and anti-inammatory (M2) macrophages. Furthermore, tumor cells are known to
highly express anti-inammatory cytokines such as TGF- β, IL-1, and VEGF as
well as checkpoint molecules PD-1/PD-L1, CTLA-4, and TIM-3 (Fig. 3.2).
Together, this immunosuppressive TIME neutralizes or kills tumor-inltrating

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kpoint molecules
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Anti-inflammatory cytokines
Immune chec
Immunosuppressive cells
S. A. Wong et al.
Unresponsive Tumor
Administration of biomaterialbased cancer immunotherapy
approach
Responsive Tumor
Fig. 3.2 The local tumor immune microenvironemnt (TIME) is highly immunosuppressive due to
the presence of immunosuppressive cells (regulatory T cells, myeloid-derived suppressor cells,
anti-inammatory/M2 macrophages), anti-inammatory cytokines (TGF- β, IL-1, VEGF), and
checkpoint molecules (PD-1/PD-L1, CTLA-4, TIM-3). Together, these factors render immune
cells ineffective, resulting in failed immuno- and radiotherapy. Biomaterials enable the localized
delivery of immunotherapeutics, which directly combat the immunosuppressive tumor microenvironment and promote a long-lasting, anti-tumor effect while reducing systemic toxicity.
Immunotherapeutics include checkpoint inhibitors (nivolumab, pembrolizumab), small molecule
inhibitors (L-NIL), and cancer vaccines (mesoporous silica rod (MSR)-based vaccines).
Biomaterials have the potential to deliver all of the above and even mimic immunmotherapy drugs
themselves, thus reducing the necessity for the addition of external agents or factors
Effector/tumor infiltrating cells
Immune adjuvants
Immune checkpoint inhibitors
Antibodies and immune adjuvants
within matrix of the bioactive
hydrogel
effector T-cells and renders immunotherapy and standard radiotherapy ineffective.
In response, biomaterials-based platform technologies for immunomodulation of
the adverse TIME are quickly emerging as a powerful tool for the treatment of cancer. The wide variety of biomaterial systems now include lipid nanocarriers, synthetic nanoparticles and microparticles, implantable or injectable scaffolds, and
hydrogels [10]. With biomaterials enabling precision drug delivery and localization
through spatial and temporal control, the versatile use of biomaterials is immense
[10]. Specically, injectable biomaterials for the targeted delivery of localized,
controlled- release immunotherapeutics not only holds promise in minimizing systemic exposure and reducing toxicity but also has the potential to reverse the immunosuppressive TIME while stimulating a localized anti-tumor effect (Fig.3.2).

3 Novel Cancer Immunotherapies andMolecular Biomarkers inHead andNeck Cancer
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Advances made in recent years have the potential to transform all phases of
patient care, from innovations in patient diagnosis with the discovery of novel biomarkers and the development of noninvasive biopsy techniques to advances in cancer treatment with the development of vaccines, immunomodulatory drugs, and
injectable biomaterials. We review these advances and more in this chapter.
53
Advances inOSCC Biomarker Research
Researchers have sought to create a multigene risk score that allows clinicians to
better tailor treatment for OSCC patients. To date, these studies have sought to use
differences in gene expression, gene amplication and deletion, methylation, and
microRNA (miRNA) as potential biomarkers. For the majority of these studies, the
primary goal has been to prevent overtreatment by predicting patient risk for neck
metastasis and their need for END.Since neck metastasis cannot be detected clinically or via imaging in >20% of early-stage OSCC patients and this risk of occult
metastasis portends poor survival without prophylactic neck lymphadenectomy, it
has become routine for surgeons to perform END on all patients, even if this means
overtreatment in 80% of patients and signicant concomitant morbidity such as
shoulder dysfunction, nerve damage, and lymphedema [11].
Initially, molecular signatures of disease showed limited clinical success, predominantly because studies sought to identify global markers of multiple head and
neck cancer subtypes. However, narrowing the focus to only one sub-type, allows
for identication of a more accurate molecular signature. One example of this is a
large biomarker study published in 2004 that identied a unique 102-gene signature
by comparing changes in gene expression patterns in patients with and without neck
metastasis [12, 13]. The initial study showed that the 102-gene signature was 86%
accurate in predicting neck metastasis, but the subsequent multicenter validation
study showed a negative predictive value (NPV) of 72% for all stages of OSCC and
OPSCC [11]. Notably, the NPV increased to 89% when the patient cohort was limited to only early stage (I/II) OSCC patients. This nding not only highlights the
importance of evaluating head and neck cancer by sub-type but also the promising
potential of using molecular biomarkers for early-stage patients.
The majority of biomarker studies have not focused on early-stage OSCC
patients. However, this patient population has the potential to benet most from
biomarker-based evaluation. Unlike late-stage (III/IV) OSCC patients who routinely receive triple-modality therapy (surgery, radiation, and chemotherapy), treatment recommendations for early-stage OSCC patients are highly variable due to the
lack of accurate and individualized metrics to measure risk. To address this variability in disease outcome, recent studies have focused on identifying biomarkers
that distinguish high- versus low-risk early-stage OSCC patients. Yoon etal. published a study focusing on early-stage OSCC patients that used differences in
miRNA patterns to predict 5-year survival [3]. The group discovered a 3 miRNA

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signature and combined this with tumor-node-metastasis (TNM) classication and
histologic grade to create a risk score with a concordance (c)-index of 0.832.
Shifting the focus to epigenetic biomarkers, epigenetics (i.e., DNA methylation)
has been shown to play the most prominent role in regulating OSCC progression.
Numerous studies have demonstrated how methylation leads to genomic instability
and the dysregulation of key genes involved in OSCC etiology [8, 14, 15]. For
example, an epigenome-wide association study (EWAS) demonstrated how methylation inactivates a number of critical tumor suppressor genes in head and neck
cancer patients [16]. Initially, these epigenetic-based studies demonstrated poor
prognostic success due to the use of heterogeneous study populations that included
both early- and late-stage OSCC patients as well as patients with cancer at different
subsites (i.e., oral cavity, oropharynx, hypopharynx, larynx). Additionally, these
studies relied only on molecular data without including clinicopathologic features
to determine risk.
A recent study, however, demonstrated clinical signicance and prognostic
potential when using epigenetic biomarkers to predict 5-year mortality in earlystage (I/II) OSCC patients. In this study, patients’ mortality risk scores were determined by combining both molecular and nonmolecular features. The molecular
panel consisted of a 12-gene methylation signature. Notably, all 12 genes had been
previously linked to patient survival in other cancers. However, 11 of the 12 had
never been previously linked to OSCC.The study’s nonmolecular panel consisted
of the following clinicopathologic features: age, race, sex, tobacco use, alcohol use,
histologic grade, stage, perineural invasion (PNI), lymphovascular invasion (LVI),
and margin status. When assessing 5-year mortality using patients’ clinicopathologic features alone, the c-index from this study was 0.67, which was not different
from previous studies using clinicopathologic features to predict risk (Fig. 3.1).
Importantly, the c-index increased to 0.915 when the clinicopathologic features
were combined with the 12-gene molecular panel [8]. This data highlights the critical role of molecular biomarkers in determining patient risk and demonstrates how
utilizing molecular information as part of a risk score has the potential to mitigate
overtreatment in low-risk patients while preventing undertreatment in high-risk
patients. Work is currently being done to validate this risk score with a larger multiinstitutional cohort.
S. A. Wong et al.
Noninvasive Biopsy Techniques forOSCC Diagnosis
One advantage of treating OSCC is that the oral cavity is easily accessible and,
thus, lends itself well to the development of noninvasive biopsy techniques. Such
techniques would allow frequent sample harvesting not only for initial diagnosis
but also to monitor treatment response and recurrence. Importantly, samples harvested via these techniques could allow for risk score calculation prior to surgery.
Since it is standard of care for adjuvant treatments to occur within several weeks of
surgery, it is essential that the patient’s risk score be calculated beforehand if it is to

Whole blood CTC
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55
play a role in determining the need for adjuvant treatment. Collecting samples via
noninvasive biopsy at the time of diagnosis allows for this to occur, in contrast to
waiting for data from formalin-xed, parafn-embedded (FFPE) tissue samples
following tumor resection, which could result in the delay of potentially necessary
treatment.
Studies have sought to use saliva, brush swabs, and circulating tumor cells (CTC)
to noninvasively collect OSCC cell samples at the time of diagnosis (Fig. 3.3).
Unfortunately, saliva has not proven to be a viable option as the concordance of
methylation patterns between saliva and cancer tissue has been highly variable [17].
However, a preliminary study using noninvasive brush swabs has shown a high
concordance with cancer tissue (r=0.913) and no signicant differences in DNA
yield between tissue and brush swab samples [18]. Methylation data resulting from
this noninvasive technique can be used to calculate molecular risk at the time of
diagnosis and has high clinical relevance and translational potential. Additional
studies have sought to use circulating tumor cells (CTCs) as an early marker of
metastatic disease. The presence of CTCs has been associated with treatment resistance, locoregional recurrence, and reduced progression-free survival [19]. Work is
being done to identify molecular phenotypes of CTCs that indicate patient prognosis and response to treatment [19, 20].
Secreted proteins in supematant
Proteins
DNA
RNA
Brush swab
Resected cancer tissue
Centrifuge to isolate cells
Centrifuge to isolate cells
Whole saliva
Paraffin embedded tissue
or snap frozen tissue
Cancer cells
Fig. 3.3 Several noninvasive biopsy techniques have been developed for head and neck squamous
cell carcinoma (HNSCC) biomarker research. These techniques include the use of saliva, brush
swabs, and circulating tumor cells (CTC’s) for cancer cell collection. Due to the minimally invasive nature of these techniques, they can be used repeatedly to monitor treatment response and
easily collected at the point-of-care. Moreover, cells harvested using noninvasive techniques of
sufcient quantity and quality for biomarker analysis, which plays a critical role in predicting
individual patient risk and determining the appropriate level of adjuvant treatment
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