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2 Advancements andInnovations inCleft Surgery
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ERAS Protocol Innovations inCleft Patients
Postoperative pain control following cleft lip and palate repair has undergone signi­cant 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 etal. This protocol included: Gabapentin 10mg/kg/dose q8, acet­aminophen 10mg/kg/dose q4 PRN, and Ketorolac 0.5mg/kg/dose IV q6 PRN for severe pain (max of 3 doses). Alternatively, a regime of Ibuprofen 10mg/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 0.05–0.1mg/ kg IV q1 PRN and acetaminophen 10mg/kg IV q6 scheduled during the immediate postoperative period. Depending on postoperative pain, acetaminophen or ibuprofen 10mg/kg PO q6 PRN (FLACC score 1–5) or oxycodone 0.1mg/kg PO q4–6 PRN (FLACC pain score 6–10) was administered. Patients in the ERAS protocol received signicantly 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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References
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2. Daniels KM, Yu EY, Maine RG, Corlew S, Bing S, Hoffman WY, et al. Palatal stula risk after primary palatoplasty: a retrospective comparison of humanitarian operations and ter­tiary hospitals. Lancet. 2015;386(9993):532; [cited 2022 Mar 6]. https://pubmed.ncbi.nlm.nih.
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3. Daniels KM, Yang Yu E, Maine RG, Heng Y, Yang L, Shi B, etal. Palatal stula risk after primary palatoplasty. Cleft Palate Craniofac J. 2018;55(6):807–13. [cited 2022 Mar 6]. https://
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4. Smith DM, Vecchione L, Jiang S, Ford M, Deleyiannis FW, Ann Haralam M, etal. The pitts­burgh stula classication system: a standardized scheme for the description of palatal stulas. Cleft Palate Craniofac J. 2007;44(6):590–4; [cited 2022 Mar 6]. https://pubmed.ncbi.nlm.nih.
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5. Anderson BJ, Fallah KN, Lignieres AA, Moftt JK, Luu K-L, Cepeda A, etal. Predictive factors for velopharyngeal insufciency following primary cleft palate repair. Cleft Palate Craniofac J. 2021;59(7):825–32; [cited 2022 Mar 8]. https://pubmed.ncbi.nlm.nih.gov/34396792/.
6. Fayyaz GQ, Gill NA, Ishaq I, Aslam M, Chaudry A, Ganatra MA, etal. Pakistan comprehen­sive stula classication. Plast Reconstr Surg. 2019;143(1):140e–51e; [cited 2022 Mar 6].
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7. Rothermel AT, Lundberg JN, Samson TD, Tse RW, Allori AC, Bezuhly M, etal. A toolbox of surgical techniques for palatal stula repair. Cleft Palate Craniofac J. 2020;58(2):170–80; [cited 2022 Mar 8]. https://pubmed.ncbi.nlm.nih.gov/32806926/.
8. Hu S, Levinson J, Rousso JJ. Revision surgery of the cleft palate. Semin Plast Surg. 2020;34(2):120–8; [cited 2022 Mar 7]. https://pubmed.ncbi.nlm.nih.gov/32390780/.
9. Ayyash AM, Anstadt EE, Dvoracek LA, Marji FP, Lee JY, Losee JE, etal. An intraoperative salvage after transection of the greater palatine artery during cleft palate repair. J Craniofac Surg. 2020;31(2):e133–5; [cited 2022 Mar 10]. https://pubmed.ncbi.nlm.nih.gov/31934976/.
10. Anstadt EE, Bruce MK, Ford M, Jabbour N, Pfaff MJ, Bykowski M, etal. Tissue augment­ing palatoplasty for the treatment of velopharyngeal insufciency. Cleft Palate Craniofac J. 2021;59(12):1461; [cited 2022 Mar 18]. https://pubmed.ncbi.nlm.nih.gov/34787006/.
11. Mittermiller PA, Sethi H, Morbia RP, Johns D, Baylan J, Lorenz HP, etal. Anatomical nasal lining aps for closure of the nasal oor in unilateral and bilateral cleft lip repairs reduce s­tulas at the alveolus. Plast Reconstr Surg. 2018;142(6):1549–56; [cited 2022 Mar 13]. https://
pubmed.ncbi.nlm.nih.gov/30188474/.
12. Mendoza M, Pérez A.Anatomical closure technique of the nasal oor for patients with com­plete unilateral cleft lip and palate. J Plast Surg Hand Surg. 2013;47(3):196–9; [cited 2022 Mar 18]. https://pubmed.ncbi.nlm.nih.gov/23547535/.
13. Rahpeyma A, Khajehahmadi S.Inferior turbinate ap for nasal-side closure of palatal stula in cleft patients. Plast Reconstr Surg Glob Open. 2015;2(12):e265; [cited 2022 Mar 20]. https://
pubmed.ncbi.nlm.nih.gov/25587499/.
14. Stewart TL, Fisher DM, Olson JL.Modied von Langenbeck cleft palate repair using an ante­rior triangular ap: decreased incidence of anterior oronasal stulas. Cleft Palate Craniofac J. 2009;46(3):299–304. https://doi.org/10.1597/07- 185.1; [cited 2022 Mar 17].
15. Hay N, Patel B, Haria P, Sommerlad B. Maxillary growth in cleft lip and palate patients, with and without vomerine ap closure of the hard palate at the time of lip repair. Cleft Palate Craniofac J. 2018;55(9):1205–10. https://doi.org/10.1177/1055665618764960; [cited 2022 Mar 9].
16. Maggiulli F, Hay N, Mars M, Worrell E, Green J, Sommerlad B. Early effect of vomerine ap closure of the hard palate at the time of lip repair on the alveolar gap and other maxillary
2 Advancements andInnovations inCleft 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 insufciency 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 difcult 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, etal. 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 benets 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 modied 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. Moftt 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/.
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Chapter 3
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Novel Cancer Immunotherapies andMolecular Biomarkers inHead andNeck Cancer
SarahAnneWong, NeerajaDharmaraj, VictoriaA.Manon, SimonYoung , andChiT.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 proles. 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 signicantly improved outcomes in recent years. Furthermore, OSCC is on the rise. In the last 20years, 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
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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 signicant 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 signicant 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 specic 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 specic 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 signicantly 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-stratied 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 signicant 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 andMolecular Biomarkers inHead andNeck 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 signicantly increase (as high as 0.915) when clinicopathologic fea­tures are combined with the patient’s molecular ngerprint
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treatments, immunotherapy can potentially generate a specic and long-lasting anti­tumor effect. However, clinical success rates remain low (15–20%), and there is signicant 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 signicant 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-inammatory (M2) macrophages. Furthermore, tumor cells are known to highly express anti-inammatory 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-inltrating
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kpoint molecules
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Anti-inflammatory cytokines Immune chec
Immunosuppressive cells
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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-inammatory/M2 macrophages), anti-inammatory 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]. Specically, 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 andMolecular Biomarkers inHead andNeck 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.
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Advances inOSCC 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 amplication 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 signicant 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 identication of a more accurate molecular signature. One example of this is a large biomarker study published in 2004 that identied 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 benet 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 etal. 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) classication 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 signicance 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.
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Noninvasive Biopsy Techniques forOSCC 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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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, parafn-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 signicant 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 sufcient quantity and quality for biomarker analysis, which plays a critical role in predicting individual patient risk and determining the appropriate level of adjuvant treatment