Predictive genomic medicine enlarges the spectrum of predisposing mutations for head and neck cancers via a panel of 56 genes selected for human neoplasia in Southern Italy: a pilot study
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Federica Di Maggio
, Giulia Togo
, Ettore Pavone
, Alessandra Calabrese
, Petra Claudia Camilla D’Orsi
, Maria Luisa Marciano
, Giovanni Marino
, Francesco Salvatore
und Marcella Nunziato
Abstract
Objectives
Oral squamous cell carcinoma (OSCC) is the most prevalent form of squamous cell carcinomas of the head and neck (SCCHN), accounting for over 90 % of all oral cavity malignancies (approximately 275,000 new cases are worldwide diagnosed annually). Early-stage oral squamous cell carcinoma (T1 and T2) has a 5-year survival rate of up to 80 %. Survival rates decrease to 20–30 % at later stages (T3-T4). Each year, there are between 275,000 and 300,000 new cases of OSCC, and over 150,000 deaths worldwide. OSCC are usually non-hereditary tumors, although familial epidemiology has been recently reported.
Methods
From 2022 to 2024, we enrolled 56 patients from the complex structure of maxillofacial surgery and ORL, National Cancer Institute – IRCCS – Fondazione G. Pascale. The individuals enrolled underwent molecular testing via a multigene panel of 56 genes related to cancer predisposition customized in our laboratory. The panel included BRCA1 and BRCA2.
Results
We identified a total of 7 pathogenic mutations annotated in clinical databases as ClinVar, in BRCA2 (two different variants), BRCA1, MUTYH, BRIP1, FANCM and FANCC genes (approximately 12.5 % of our patients). The results show a frequent predisposition to head and neck tumors similar to or even greater than that observed in other types of neoplasia, such as breast and ovarian cancers or colon cancer), with a predisposition of approximately 10 %.
Conclusions
Our results confirm that, similarly to other more studied tumors, predictive genomic medicine can play a crucial role in the early identification of germline mutations in head and neck cancers. This approach should be considered for the early detection of OSCC particularly for individuals at increased risk, e.g., those with a family history of the disease, who may also be candidates for targeted molecular therapies based on their genetic profile.
Introduction
Squamous cell carcinomas of the head and neck (SCCHN) are malignant tumors arising from mucosal surfaces located in the upper aero-digestive tract (paranasal sinuses, nasopharynx, oropharynx, hypopharynx, larynx, oral cavity, and nostrils) [1], 2]. Squamous cell carcinomas of the head and neck is the seventh most common cancer in Europe; in Italy approximately 9,750 people have been diagnosed in 2023 (7,050 men and 2,700 women), with 3,800 deaths (numbers of cancer from AIOM, 2023). However, these numbers are likely underestimated due to significant underreporting [3]. While tobacco and alcohol use remain the main risks factor in Europe, human papillomavirus (HPV) plays a critical role in the etiology of SCCHN globally. Patients with early-stage SCCHN can be cured with surgery or radiation. Patients with an aggressive disease and those with locally advanced stage tumors, which represent two-thirds of newly diagnosed, are more likely to undergo surgery with a 50 % 5-year overall survival) [4]. Within SCCHN, each tumor location has a different clinical presentation (see above), staging, prognosis and can be treated differently [5].
Oral squamous cell carcinoma (OSCC) is the most common type of SCCHN and represents more than 90 % of all malignancies of the oral cavity. Each year approximately 275,000 cases are newly diagnosed worldwide. When detected at an early stage (T1-T2), OSCC survival rate is up to 80 %, however when detected in later stages (T3-T4), the survival rate significantly drops to 20–30 % [6]. Globally, 275,000 to 300,000 new cases of OCSCC are diagnosed each year with over 150,000 associated deaths [7]. These oral cavity cancers are classified by the involvement of distinct anatomic subsites – notably, the lip, buccal mucosa, gums (or gingiva/alveolar ridge), anterior two-thirds of the tongue, floor of the mouth, hard palate, and retromolar trigone [8]. Subsite involvement may have important prognostic implications, and may influence treatment planning [9]. Subsites distribution varies by geographic location, largely due to environmental exposures such as tobacco and alcohol use [10].
These cancers typically develop silently in their early stages, leading to delayed detection and unfortunately cervical lymph node metastasis can easily occur. Early diagnosis of head and neck cancers plays a crucial role in improving patient outcomes, with significantly, higher chances of successful treatment, in terms of surgery, radiation, and chemotherapy. Early detection also reduces the need for more invasive surgical procedures and minimizes long-term complications. Regular screening (i.e., regular observation of the local sites) and awareness of risk factors, such as smoking, alcohol use, and HPV infection, can help identify potential cancers before symptoms arise., This proactive approach enhances survival rates and preserves a good quality of life.
We designed a panel of 56 genes associated with different types of tumors, primarily targeting DNA damage repair pathways. We tested 56 patients with head and neck tumors at different localizations, as we identified approximately 12.5 % of pathogenic mutations in our neoplasia cases, which is one of the highest reported percentages among studied cohorts of these tumors, thereby suggesting that genetics plays a significant role in OCSCC.
Materials and methods
Patient enrollment
Between 2021 and 2022, we enrolled 56 patients (17 women, 37 men and 2 patients whose gender was not reported) with head and neck tumors at different localizations. The average age at diagnosis was approximately 64 years. All patients provided a written informed consent for the study, which was carried out in accordance with the tenets of the Helsinki Declaration and approved by the Istituto Nazionale Tumori–Fondazione G. Pascale Ethics Committee (protocol number 15/20 of 2020). Among the 56 patients, 15 had tumors of the tongue, which is among the most common sites for head and neck cancers. Seven patients had tumors in the jaw, and five had tumors in the palate. Four patients had tonsillar tumors, three of which had undergone lymph node emptying procedures due to their condition. Three patients had cheek tumors, and two had tumors affecting the genial mucosa. Less common tumor sites were the nose (1 patient), the pharynx (1 patient), the larynx (3 patients), and the adenoid region (1 patient). Other cases included tumors located on the lip (1 patient), the alveolar ridge (1 patient), and the mandible (1 patient). One patient had benign hyperplasia, and another patient had a parotid tumor. The specific tumor localization was unknown in five patients. This distribution underscores the wide range of possible sites for head and neck tumors, reflecting the complexity and diversity of the disease (Table 1).
Clinical characteristics of the 56 patients enrolled in the study, and of their tumors.
No. | ID | Sex | Cancer onset, years | Risk factors | Tumoral staging | Tumoral grading | Tumor localization |
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1 | TC_01 | M | 70 | Ex smoker | T3N1M0 | G3 | Genial mucosa |
2 | TC_02 | M | 56 | Ex smoker | T3N0M0 | G1 | Jaw |
3 | TC_03 | F | 78 | – | T1N0M0 | G1 | Nose |
4 | TC_04 | M | 48 | Alcool consumer, smoker | – | G2 | Lymph node emptying |
5 | TC_05 | M | 77 | Smoker | T2N0M0 | – | Tonsil |
6 | TC_06 | M | 44 | Smoker | T3N0 | G2 | Right submandible |
7 | TC_07 | F | 24 | – | T3N1M0 | G2 | Tongue |
8 | TC_08 | F | 64 | Smoker | – | G1 | Palate |
9 | TC_09 | M | 76 | HCV | – | – | Lymph node emptying |
10 | TC_10 | M | 71 | Smoker | T3N0M0 | G3 | Pharynx |
11 | TC_11 | M | 51 | Alcool consumer, smoker | T2N1M0 | – | Lymph node emptying |
12 | TC_12 | M | 73 | Smoker | T4N0M0 | G4 | Larynx |
13 | TC_13 | F | 91 | – | T2N0M0 | – | Cheek |
14 | TC_14 | M | 55 | Alcool consumer, smoker | T4aN2b | G4 | – |
15 | TC_15 | M | 58 | Alcool consumer | T2N0M0 | G2 | Cheekbone |
16 | TC_16 | F | 45 | – | T2N2bM0 | G4 | Tongue |
17 | TC_17 | M | 80 | Alcool consumer | T2N2M1 | – | – |
18 | TC_18 | M | 64 | Smoker | – | – | Parotid |
19 | TC_19 | M | 67 | – | – | – | Jaw |
20 | TC_20 | F | 85 | – | Mx | – | – |
21 | TC_21 | F | 55 | – | – | – | Tongue |
22 | TC_22 | M | 54 | Smoker | – | G3 | Tongue |
23 | TC_23 | M | – | Benign hyperplasia | T3N1 | G3 | Jaw |
24 | TC_24 | F | 59 | Smoker | – | G2/G3 | Tongue |
25 | TC_25 | M | 77 | Alcool consumer | – | G3 | Jaw |
26 | TC_26 | M | 76 | – | T2N0M0 | G2 | Jaw |
27 | TC_27 | F | 72 | T1N2bM0 | – | Tonsil | |
28 | TC_28 | F | 63 | Alcool consumer, smoker | – | G3 | Tongue |
29 | TC_29 | M | – | – | T2N1 | G3 | Tongue |
30 | TC_30 | M | 56 | Smoker | – | G3 | Tongue |
31 | TC_31 | F | 68 | Smoker | T2N2aM0 | – | Tonsil |
32 | TC_32 | M | 59 | Alcool consumer, smoker | T2N1M0 | G1/G2 | Palate |
33 | TC_33 | M | 58 | Benign hyperplasia, smoker | T2N0M0 | – | Palate |
34 | TC_34 | M | 67 | Benign hyperplasia, smoker | – | G1/G2 | Tongue |
35 | TC_35 | M | 69 | Smoker | – | G1/G2 | Tonsil |
36 | TC_36 | M | 57 | Benign hyperplasia, smoker | T3N2bM0 | – | Tongue |
37 | TC_37 | M | 81 | Smoker | – | G2/G3 | Tongue |
38 | TC_38 | F | 55 | – | T2N0M0 | – | Adenoid |
39 | TC_39 | No data available | |||||
40 | TC_40 | F | 78 | – | – | G3 | Lip |
41 | TC_41 | F | 64 | – | T1N0M0 | G1/G2 | Jaw |
42 | TC_42 | F | 94 | Smoker | – | – | Larynx |
43 | TC_43 | M | 31 | Smoker | – | G3 | Tongue |
44 | TC_44 | M | – | – | – | – | Larynx |
45 | TC_45 | M | 94 | – | – | G3 | Jaw |
46 | TC_46 | M | 30 | Benign hyperplasia | |||
47 | TC_47 | M | 61 | Smoker | T2N0M0 | – | Palate |
48 | TC_48 | M | 80 | Smoker | T2N0Mx | G1/G2 | Jaw and tongue |
49 | TC_49 | M | 67 | – | – | G1 | Palate |
50 | TC_50 | M | 77 | Smoker | T4N2bMx | G2 | Genial mucosa |
51 | TC_51 | M | 67 | Smoker | T3N0Mx | – | Tongue |
52 | TC_52 | M | 69 | Smoker | T3N2aMx | G3 | Cheek |
53 | TC_53 | F | 86 | HCV | T1N2bMx | G2 | Right inferior alveolar ridge |
54 | TC_54 | F | 58 | Alcool consumer | T2N1Mx | G2 | Tongue |
55 | TC_55 | M | 70 | Smoker | T3N3bMx | G3 | Tongue |
56 | TC_56 | No data available |
Library preparation, sequencing and data analysis
After a brief genetic consultation to collect anamnestic data and the family history of the subject enrolled in the study, a tube of EDTA blood was taken from each patient. A customized gene panel was created in our laboratory and designed via the web-based application HaloPlex SureDesign site (www.genomics.agilent.com) with capture methodology (Agilent Technologies, Santa Clara, CA, USA) [11]. We decided to insert 56 genes already known to be involved in cancer onset that encode proteins involved in DNA damage repair. The panel was characterized by 1,032 targets and 22,510 amplicons, for a total size of 891,411 kbp. It included all coding exons for each gene, at least 50 bp at exon boundaries on each side (5′ and 3′) and the 5′ promoter sequence of each gene and the 3′ UTR region. Each DNA sample obtained was subjected to enrichment with multigene panel probes via the HaloPlex Target Enrichment System, according to manufacturer’s instructions. In detail: each DNA was evaluated and quantified with the Qubit BR assay (Thermo Fisher Scientific Inc., Waltham, MA, USA). After dilution, we used a more sensitive kit, such as HS assay to determine the exact initial quantity of DNA. Starting from 225 total ng of gDNA we proceeded with digestion via eight different restriction reactions for 30 min at 37 °C. The eight digestion reactions were combined into a single hybridization mixture, which also contained our custom probes and the unique sample dual index. The hybridization reaction was characterized by two different steps: 95 °C for 10 min, and then 54 °C for 16 h. The result of the hybridization process is a gDNA fragment circularization beyond the incorporation of the various indexes and adapters. The circularized target DNA-probe hybrids that contained biotin were captured on streptavidin beads; and owing to the addition of DNA ligase, the nicks were closed. Finally, we prepared a PCR mixture, followed by the elution with NaOH and a subsequent magnetic beads purification, via Ampure XP beads (Beckman Coulter, Fullerton, CA, USA). The final profile of the enriched libraries was assessed on TapeStation 4,200, using High Sensitivity D1000 assay kit.
To proceed through the sequencing step, each library was diluted to 10 nM to ensure equimolarity and then pooled together. The number of samples to be sequenced per run was chosen based on the platform’s maximum output and on the calculation of the optimal theoretical coverage chosen by the researcher (150/200× for target regions). Therefore, different sequencing runs were performed via the MiSeq platform, specifically the MiSeq PE v2 300 cycles kit (Illumina, San Diego, CA, USA).
Data were analyzed via Alissa software provided by Agilent Technologies. An adapted customized pipeline was also set up in accordance with the manufacturer’s instructions. All potentially clinical-relevant variants were selected for inclusion in the final report. Different prediction tools and databases were used to better assess pathogenicity of variants, namely, ClinVar database, Franklin tools with ACMG score classification, and the CADD score was also evaluated.
Results
We identified seven different mutations in six genes implicated in DNA damage repair (Figure 1) in seven unrelated subjects with head and neck tumors in different locations. Three variants were in BRCA genes (two in BRCA2 and one in BRCA1), one in the MUTYH gene, one in BRIP1 and two variants were in FANC family genes, one in FANCC and one in FANCM genes (Table 2).

Genes involved in DNA damage repair mechanisms present in our panel that can occur through single-strand or double-strand breaks. The six mutated genes are marked in red): MUTYH, involved in base excision repair (BER); BRCA1, BRCA2, and BRIP, involved in homologous recombination (HR); FANCC and FANCM, involved in interstrand crosslink (IC) repair.
List and characteristics of the seven pathogenetic variants found in the cohort analyzed.
No. | Gene | cDNA | Exon | Protein | Reference ID (dbSNP) | CADD score | ClinVar database | Varsome/franklin ACMG classification | |
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1 | TC_15 | BRCA2 | c.4284dupT | 11 | p.Gln1429Serfs*9 | rs80359439 | – | Pathogenic | Pathogenic |
2 | TC_18 | MUTYH | c.527A>G | 7 | p.Tyr176Cys | rs34612342 | 26,1 | Pathogenic | Pathogenic |
3 | TC_27 | BRCA1 | c.5266dupC | 19 | p.Gln1756Profs*74 | rs80357906 | – | Pathogenic | Pathogenic |
4 | TC_31 | BRCA2 | c.658_659delGT | 8 | p.Val220Ilefs*4 | rs80359604 | – | Pathogenic | Pathogenic |
5 | TC_36 | BRIP1 | c.394dupA | 5 | p.Thr132Asnfs*10 | rs587781416 | – | Pathogenic | Pathogenic |
6 | TC_51 | FANCM | c.5791C>T | 22 | p.Arg1931* | rs144567652 | 44 | Conflicting interpretations of pathogenicity: Pathogenic [6]; likely pathogenic [1]; UCV [2] | Likely pathogenic |
7 | TC_52 | FANCC | c.37C>T | 2 | p.Gln13* | rs121917784 | 19,9 | Pathogenic | Pathogenic |
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The genes’ acronyms are in italics.
These seven patients were followed over time to assess post-surgery effects and radio/chemotherapy treatments. All clinical data are summarized in Table 3.
Clinical information, surgical treatment and therapies used in our mutation-bearing patients.
Patient ID | Head and neck cancer (present study) | Other previous head and neck cancer | Comorbidities | Actual surgery | Lateral cervical lymph node dissection | Radicality of the surgery | Treatment after exeresis | Current condition |
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TC 15 | Cheekbone | No | Hypertension | Exeresis and plastic surgery | No dissection | Yes | Radiotherapy | Alive |
TC 18 | Parotid cancer | Vocal cords | Diabetes mellitus, hypertension | Removal | Elective (proactive and preventive) | No | None | Alive |
TC 27 | Tonsil cancer | No | Hypertension | Tonsillectomia | Radical | No | Radiotherapy, chemotherapy | Alive |
TC 31 | Tonsil cancer | No | Hypertension | Tonsillectomia | No dissection | Yes | Radiotherapy | Deceased |
TC 36 | Tongue cancer | No | Diabetes mellitus, hypertension | Hemiglossectomy | Radical | No | Radiotherapy | Alive |
TC 51 | Tongue cancer | No | Diabetes mellitus, hypertension | Hemiglossectomy | Radical | No | Radiotherapy | Deceased |
TC 52 | Cheek cancer | No | Hypertension | Exeresis and plastic surgery | Elective (proactive and preventive) | No | Radiotherapy, chemotherapy | Alive |
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NA, information not available.
Among the seven mutations identified, four are variants that cause frameshift: three duplications of one base (in BRCA2 c.4284dupT, p.Gln1429Serfs*9 – rs80359439; BRCA1 c.5266dupC, p.Gln1756Profs*74 – rs80357906 and BRIP1 c.394dupA, p.Thr132Asnfs*10 – rs587781416) and one deletion of two bases (BRCA2 c.658_659delGT, p.Val220Ilefs*4 – rs80359604). Two variants were nonsense with a premature stop codon formation (FANCM c.5791C>T, p.Arg1931* – rs144567652; FANCC c.37C>T, p.Gln13* – rs121917784) and one was a missense mutation in the MUTYH gene known to be pathogenic (c.527A>G, p.Tyr176Cys–rs34612342). Confirmatory Sangers methodology was also conducted for the seven variants found. We identified seven distinct pathogenic mutations across six genes. Among these, three patients harbored mutations in BRCA genes. Of these, two had tonsillar tumors, and one had a cheekbone tumor. All three patients were smokers and/or alcohol consumers. The BRCA genes, which are pivotal in homologous recombination (HR) processes, are well-known for their roles in breast and ovarian cancer susceptibility [12], 13] (see Figure 2A–D). In the pedigree A, no other cancer cases were registered within the family.

Pedigrees of the families of the seven mutation carriers identified. (A) The index case, diagnosed with cheekbone cancer (TC_15), carries a BRCA2 mutation. (B) The proband (TC_18), diagnosed with parotid cancer, is a carrier of a MUTYH gene mutation. (C) The proband (TC_27), diagnosed with tonsil cancer, carries a BRCA1 mutation. (D) A female (TC_31) diagnosed with tonsil cancer carries a BRCA2 mutation. (E) A male patient (TC_36) diagnosed with tongue cancer carries a BRIP gene mutation. (F) A male patient (TC_51) diagnosed with tongue cancer carries a FANCM gene mutation. (G) A male patient (TC_52) diagnosed with cheekbone cancer carries a FANCC gene mutation.
One patient with a parotid gland tumor carried a pathogenic variant in the MUTYH gene and reported a history of smoking. MUTYH is involved in the base excision repair (BER) pathway, particularly in correcting oxidative DNA damage, and is known to interact with BRCA1 in broader DNA repair mechanisms (see Figure 2B).
Finally, we detected three mutations in genes associated with the Fanconi anemia (FA) pathway: BRIP1 (FANCJ), FANCM, and FANCC. Two of these patients had tongue cancer, and the third had a cheek tumor (see Figure 2E–G). All three patients were smokers. The FA pathway is integral to DNA damage repair, particularly to coordinate the repair of inter-strand crosslinks and to support HR.
Discussion
The study of DNA mutations is becoming increasingly important, as it enables the detection of predisposing mutations in a genome, even in newborns. In addition, later mutations, often caused by environmental factors, can trigger the first signs of abnormal cell proliferation, potentially leading to cancer [14]. These mutations can be risk factors for tumor development. Moreover, pathogenic mutations, identified through bioinformatic tools and software, can serve as diagnostic markers and may help in tumor staging, including the assessment of metastatic spread [15]. The identification of pathogenic mutations also guides more effective therapeutic approaches, such as surgery and chemotherapy [16]. Furthermore, monitoring circulating tumor DNA (ctDNA) is a valuable method to detect early relapse of cancer [17], [18], [19]. In summary, mutations that predispose individuals to cancer are crucial to understand both cancer susceptibility and the natural history of the neoplastic process.
Most SCCHN are considered sporadic and are commonly associated to established risk factors, such as tobacco use, alcohol consumption, and HPV infection [10], 20], 21]. A 2015 study by the International Head and Neck Cancer Epidemiology (INHANCE) consortium [22] identified a correlation between family history of cancer, early onset, and SCCHN, particularly in younger individuals and smokers [23]. Despite these findings, genetic predisposition and the interaction of risk factors in SCCHN remain underexplored, especially when compared to other cancers such as breast or colon cancer. Although early-onset SCCHN is relatively uncommon, its incidence has been increasing in recent years also in very young subjects.
Several recent studies have investigated the presence of germline variants in patients with head and neck cancers. Variants in the FANCG, CDKN2A, and TPP genes, which had previously been associated with these types of tumors, were found [23], along with pathogenic variants in BRCA2, ARID1A, ATM, and BRCA1 [24]. In 2023, Brake et al. analyzed 200 patients and identified 22 pathogenic variants (10.5 %). Among these, 11 were in high- or moderate-penetrance genes, predominantly PMS2 and HOXB13, while the remaining 11 were in low-penetrance genes, including MUTYH, WNR, and RECQL4. Notably, their study revealed that nearly 95 % of the variants identified would not have been detected using the current guidelines for genetic testing in SCCHN [25].
Our findings are in strong agreement with those of Brake et al. and suggest that the current selection criteria for genetic testing related to oncological predisposition should be revised, as it has been the case for other types of cancers. According to existing guidelines [26], genetic testing is generally not recommended for patients with head and neck cancer. Our findings, however, highlight the importance of genetic testing in these patients, suggesting that such an approach could offer valuable insights and contribute to early diagnosis, particularly in families with a known history of SCCHN.
Extensive research has demonstrated that DNA damage repair (DDR) mechanisms play a critical role in the initiation, progression, prognosis, and treatment of SCCHN [27]. Moreover, recurrence rates remain high, approximately 50 %, in SCCHN patients treated with radiotherapy and chemotherapy [28]. This underscores the need for alternative and earlier approaches, potentially involving molecularly targeted therapies to target specific molecular alterations [29], 30]. In this context, the use of a “universal” panel that includes a few dozens of genes can be an invaluable tool for initial screening across a wide range of cancer cases (i.e. colon cancer, breast cancer, etc.). The panel would provide a broad overview of genetic alterations across various cancer types and could help identify individuals who carry predisposing mutations and require closer and more frequent monitoring. The main limitation of studies on SCCHN lies in the diverse range of tumor localizations, which makes the assembling of large and uniform patient cohorts challenging [31]. This limitation was also evident in our study, where we enrolled 56 patients with tumors at different anatomical sites; nonetheless, we believe that this pilot study paves the way to several new insights. Taken together, these genes act in complementary DNA repair networks, principally safeguarding genomic stability. In detail: BRCA1 and BRCA2 genes are implicated and are central components of the homologous recombination pathway, orchestrating the recognition and the repair of DNA double-strand breaks, as well as ensuring replication fork stability. MUTYH gene, is related to base excision repair (BER) pathway, preventing mutagenesis arising from oxidative DNA damages. BRIP1 gene, is a helicase interacting with BRCA1, FANCM and FANCC, members of the Fanconi anemia pathway, which contribute to the resolution of interstrand crosslinks and the stabilization of replication forks. Mutations affecting these pathways can, therefore, compromise the ability of the cell to properly repair the majority of DNA damages, increasing genomic instability and promoting tumorigenesis process [32], [33], [34]. The presence of such alterations in head and neck cancers – despite the absence of current predictive medicine guidelines and extensive and recent studies in the literature – highlight also in our study, that tumor predisposition profile is comparable to other malignancies where targeted approaches are already in place or clinical trials are being conducted. This biological rationale reinforces the potential value of implementing genetic screening especially for considering different therapeutic strategies, including PARP inhibitors currently used in tumors with homologous recombination deficiencies (as breast and ovarian cancers) [35].
The discovery of pathogenic variants in the BRCA genes in patients with SCCHN raises important considerations. First, it prompts the question of whether PARP inhibitors, already successfully used in breast and ovarian cancers, might be effective in the treatment of head and neck cancers in patients carrying BRCA mutations.
In addition, the identification of BRCA genes carriers prompts the need for targeted surveillance protocols for individuals carrying these variants. Notably, currently there are no guidelines for monitoring head and neck cancers in BRCA mutation carriers. This raises important questions about how to effectively monitor these individuals given the increased risk for developing SCCHN. Moreover, the targeted surveillance should also extend to carriers of other genetic variants, thereby suggesting the need for a broader, more tailored approach to monitoring cancer risk in genetically predisposed cohorts. In this context, families with a history of neoplasia should be monitored more frequently to enable earlier detection and intervention.
Conclusions
Although SCCHNs have traditionally been seen as rarely linked to germline mutations – largely due to strong lifestyle-related risk factors such as smoking, alcohol use, drug use, and HPV infection – our pilot study suggests that their heritability warrants further investigation. In our cohort of 56 patients, we found seven pathogenic (12.5 % of the cases). This proportion is even higher than those reported for more extensively studied cancers, like breast and colon cancer.
These findings underscore the urgent need to further investigate the genetic contribution to the etiology of SCCHN and the complex interplay between genetic predisposition and environmental exposures. Further research in this area could increase our understanding of SCCHN pathogenesis and pave the way for more personalized prevention and treatment strategies. In particular, identifying the key driver mutations in SCCHN in larger case series may allow targeted therapies, contributing to a more tailored and effective management of this type of cancer. Recent advances in molecular biology have deepened the role of smallRNAs as long non-coding RNAs (lncRNAs) [36], [37], [38]; or miRNAs; furthermore, the deregulation of miRNAs has been proposed in the pathogenesis and in the clinical management of head and neck squamous cell carcinoma (SCCHN), also as potential biomarker [39]. As discussed by Jiang et al., lncRNAs regulate critical oncogenic pathways such as PI3K/AKT and Wnt/β-catenin, driving tumor initiation and progression [40]. Expanding on this, Tran et al. emphasized the potential of targeting lncRNAs as novel therapeutic strategies, with several candidates already under clinical evaluation as biomarkers (as ELDR, MALAT1, NEAT1, HOTAIR, and UCA1) [41]. In parallel, Pandruvada et al. placed these findings within the broader context of molecular medicine, suggest that integrating lncRNA biology into clinical practice may enhance personalized approaches and open new therapeutic strategies for patients with head and neck cancers although further studies are needed [30].
Funding source: Ministero della Salute
Award Identifier / Grant number: RF-2010-23183729
Funding source: Regione Campania
Award Identifier / Grant number: 48/2021; 359/2022; 9/2023; 63/2024 and 32/2025
Award Identifier / Grant number: CIRO, SATIN, D.D. 459/2018; 752/2019, 38/2020
Acknowledgments
We thank Scientific Communication srl, which includes native English speakers, for English language revision.
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Research ethics: All patients gave their written informed consent to the study that was conducted according to the tenets of the Helsinki Declaration and approved by the Istituto Nazionale Tumori–Fondazione G. Pascale Ethics Committee (protocol number 15/20 of 2020).
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Informed consent: All patients gave their written informed consent to the study that was conducted according to the tenets of the Helsinki Declaration and approved by the Istituto Nazionale Tumori–Fondazione G. Pascale Ethics Committee (protocol number 15/20 of 2020).
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Author contributions: Federica Di Maggio: Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft. Ettore Pavone: Enrollment of the patients Clinical data collection, Monitoring before and after the surgery; Alessandra Calabrese: Enrollment of the patients, Clinical data collection, Writing – review & editing; Giulia Togo: Enrollment of the patients Clinical data collection, Monitoring before and after the surgery; Petra Claudia Camilla D’Orsi: collection of biological material; Maria Luisa Marciano: Enrollment of the patients Clinical data collection, Monitoring before and after the surgery; Giovanni Marino: Execution of experimental phases; Franco Ionna: Enrollment of the patients, Clinical data collection, Monitoring before and after the surgery; Supervision of the process and Writing – review & editing; Marcella Nunziato: Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft. Francesco Salvatore: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: This research was supported by Ministero della Salute [RF-2010-23183729] to Professor Francesco Salvatore; Grant from Regione Campania [CIRO project: infrastructures and scientific instrumentation to CEINGE (Coordinator Francesco Salvatore) D.D. 366/2018; SATIN “Neoplasia studies” POR Campania FESR 2014/2020; From Regione Campania D.D. 459/2018; 752/2019, 38/2020; 48/2021; 359/2022; 9/2023; 63/2024 and 32/2025 – Project “Predictive Medicine in neoplasia” to Francesco Salvatore.
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Data availability: Data are available upon request of collaboration to the corresponding authors salvator@unina.it and nunziato@ceinge.unina.it.
References
1. Barsouk, A, Aluru, JS, Rawla, P, Saginala, K, Barsouk, A. Epidemiology, risk factors, and prevention of head and neck squamous cell carcinoma. Med Sci 2023;11:42. https://doi.org/10.3390/medsci11020042.Suche in Google Scholar PubMed PubMed Central
2. Ferlay, J, Colombet, M, Soerjomataram, I, Mathers, C, Parkin, DM, Piñeros, M, et al.. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Intl J Cancer 2019;144:1941–53. https://doi.org/10.1002/ijc.31937.Suche in Google Scholar PubMed
3. Kouka, M, Hermanns, I, Schlattmann, P, Guntinas-Lichius, O. The association between patient’s age and head and neck cancer treatment decision–a population-based diagnoses-related group-based nationwide study in Germany. Cancers 2023;15:1780. https://doi.org/10.3390/cancers15061780.Suche in Google Scholar PubMed PubMed Central
4. Chow, LQM. Head and neck cancer. Longo DL, curatore. N Engl J Med 2020;382:60–72. https://doi.org/10.1056/nejmra1715715.Suche in Google Scholar
5. Nunziato, M. I tumori testa-collo: lo stato dell’arte. Biochim Clin 2024;48:204–10.Suche in Google Scholar
6. Chi, AC, Day, TA, Neville, BW. Oral cavity and oropharyngeal squamous cell carcinoma–an update. CA Cancer J Clin 2015;65:401–21. https://doi.org/10.3322/caac.21293.Suche in Google Scholar PubMed
7. D’Cruz, AK, Vaish, R, Dhar, H. Oral cancers: current status. Oral Oncol 2018;87:64–9. https://doi.org/10.1016/j.oraloncology.2018.10.013.Suche in Google Scholar PubMed
8. Chong, V. Oral cavity cancer. Cancer Imaging 2005;5:S49–52. https://doi.org/10.1102/1470-7330.2005.0029.Suche in Google Scholar PubMed PubMed Central
9. Lin, NC, Hsien, SI, Hsu, JT, Chen, MYC. Impact on patients with oral squamous cell carcinoma in different anatomical subsites: a single-center study in Taiwan. Sci Rep 2021;11:15446. https://doi.org/10.1038/s41598-021-95007-5.Suche in Google Scholar PubMed PubMed Central
10. Thakral, A, Lee, JJ, Hou, T, Hueniken, K, Dudding, T, Gormley, M, et al.. Smoking and alcohol by HPV status in head and neck cancer: a Mendelian randomization study. Nat Commun 2024;15:7835. https://doi.org/10.1038/s41467-024-51679-x.Suche in Google Scholar PubMed PubMed Central
11. Maggio, FD, Borrillo, F, Cariati, F, Tomaiuolo, R, D’Argenio, V. Glossary of molecular biology and clinical molecular biology. Part II: laboratory methodologies. Biochim Clin 2019;43. https://doi.org/10.19186/BC-2019.052.Suche in Google Scholar
12. Nunziato, M, Scaglione, GL, Di Maggio, F, Nardelli, C, Capoluongo, E, Salvatore, F. The performance of multi-gene panels for breast/ovarian cancer predisposition. Clin Chim Acta 2023;539:151–61. https://doi.org/10.1016/j.cca.2022.12.007.Suche in Google Scholar PubMed
13. Nunziato, M, Di Maggio, F, Pensabene, M, Esposito, MV, Starnone, F, De Angelis, C, et al.. Multi-gene panel testing increases germline predisposing mutations’ detection in a cohort of breast/ovarian cancer patients from Southern Italy. Front Med 2022;9:894358. https://doi.org/10.3389/fmed.2022.894358.Suche in Google Scholar PubMed PubMed Central
14. Dlamini, Z, Alaouna, M, Mbatha, S, Bhayat, A, Mabongo, M, Chatziioannou, A, et al.. Genetic drivers of head and neck squamous cell carcinoma: aberrant splicing events, mutational burden, HPV infection and future targets. Genes 2021;12:422. https://doi.org/10.3390/genes12030422.Suche in Google Scholar PubMed PubMed Central
15. Kasradze, D, Juodzbalys, G, Guobis, Z, Gervickas, A, Cicciù, M. Genetic and proteomic biomarkers of head-and-neck cancer: a systematic review. J Cancer Res Therapeut 2020;16:410–24. https://doi.org/10.4103/jcrt.jcrt_145_17.Suche in Google Scholar
16. Osman, AA, Arslan, E, Bartels, M, Michikawa, C, Lindemann, A, Tomczak, K, et al.. Dysregulation and epigenetic reprogramming of NRF2 signaling Axis promote acquisition of cisplatin resistance and metastasis in head and neck squamous cell carcinoma. Clin Cancer Res 2023;29:1344–59. https://doi.org/10.1158/1078-0432.ccr-22-2747.Suche in Google Scholar
17. Huang, X, Duijf, PHG, Sriram, S, Perera, G, Vasani, S, Kenny, L, et al.. Circulating tumour DNA alterations: emerging biomarker in head and neck squamous cell carcinoma. J Biomed Sci 2023;30:65. https://doi.org/10.1186/s12929-023-00953-z.Suche in Google Scholar PubMed PubMed Central
18. Kampel, L, Feldstein, S, Tsuriel, S, Hannes, V, Carmel Neiderman, NN, Horowitz, G, et al.. Mutated TP53 in circulating tumor DNA as a risk level biomarker in head and neck squamous cell carcinoma patients. Biomolecules 2023;13:1418. https://doi.org/10.3390/biom13091418.Suche in Google Scholar PubMed PubMed Central
19. Lebofsky, R, Decraene, C, Bernard, V, Kamal, M, Blin, A, Leroy, Q, et al.. Circulating tumor DNA as a non-invasive substitute to metastasis biopsy for tumor genotyping and personalized medicine in a prospective trial across all tumor types. Mol Oncol 2015;9:783–90. https://doi.org/10.1016/j.molonc.2014.12.003.Suche in Google Scholar PubMed PubMed Central
20. Krsek, A, Baticic, L, Braut, T, Sotosek, V. The next chapter in cancer diagnostics: advances in HPV-positive head and neck cancer. Biomolecules 2024;14:925. https://doi.org/10.3390/biom14080925.Suche in Google Scholar PubMed PubMed Central
21. Mohebbi, E, Alimoradi, Z, Rozek, LS, Mohebbi, A, Jafari, E. Risk of head and neck cancer among opium users. Arch Oral Biol 2024;157:105846. https://doi.org/10.1016/j.archoralbio.2023.105846.Suche in Google Scholar PubMed
22. Winn, D, Lee, Y, Hashibe, M, Boffetta, P, The INHANCE consortium. The INHANCE consortium: toward a better understanding of the causes and mechanisms of head and neck cancer. Oral Dis 2015;21:685–93. https://doi.org/10.1111/odi.12342.Suche in Google Scholar PubMed
23. Cury, SS, Miranda, PMD, Marchi, FA, Canto, LMD, Chulam, TC, Petersen, AH, et al.. Germline variants in DNA repair genes are associated with young-onset head and neck cancer. Oral Oncol 2021;122:105545. https://doi.org/10.1016/j.oraloncology.2021.105545.Suche in Google Scholar PubMed
24. Burcher, KM, Faucheux, AT, Lantz, JW, Wilson, HL, Abreu, A, Salafian, K, et al.. Prevalence of DNA repair gene mutations in blood and tumor tissue and impact on prognosis and treatment in HNSCC. Cancers 2021;13:3118. https://doi.org/10.3390/cancers13133118.Suche in Google Scholar PubMed PubMed Central
25. Brake, DA, Idler, BM, Kunze, KL, Golafshar, MA, Heald, B, Young, S, et al.. Germline genetic testing in unselected squamous and non-squamous head and neck cancers. Laryngoscope 2023;133:3378–88. https://doi.org/10.1002/lary.30720.Suche in Google Scholar PubMed
26. Colevas, AD, Cmelak, AJ, Pfister, DG, Spencer, S, Adkins, D, Birkeland, AC, et al.. NCCN Guidelines® insights: head and neck cancers, version 2.2025: featured updates to the NCCN guidelines. J Natl Compr Cancer Netw 2025;23:2–11. https://doi.org/10.6004/jnccn.2025.0007.Suche in Google Scholar PubMed
27. Papalouka, C, Adamaki, M, Batsaki, P, Zoumpourlis, P, Tsintarakis, A, Goulielmaki, M, et al.. DNA damage response mechanisms in head and neck cancer: significant implications for therapy and survival. IJMS 2023;24:2760. https://doi.org/10.3390/ijms24032760.Suche in Google Scholar PubMed PubMed Central
28. Haring, CT, Kana, LA, Dermody, SM, Brummel, C, McHugh, JB, Casper, KA, et al.. Patterns of recurrence in head and neck squamous cell carcinoma to inform personalized surveillance protocols. Cancer 2023;129:2817–27. https://doi.org/10.1002/cncr.34823.Suche in Google Scholar PubMed
29. Constantin, M, Chifiriuc, MC, Bleotu, C, Vrancianu, CO, Cristian, RE, Bertesteanu, SV, et al.. Molecular pathways and targeted therapies in head and neck cancers pathogenesis. Front Oncol 2024;14:1373821. https://doi.org/10.3389/fonc.2024.1373821.Suche in Google Scholar PubMed PubMed Central
30. Pandruvada, S, Kessler, R, Thai, A. Head and neck cancer treatment in the era of molecular medicine. Adv Cancer Res 2023;160:205–52. https://doi.org/10.1016/bs.acr.2023.03.004 Suche in Google Scholar PubMed
31. Bhat, GR, Hyole, RG, Li, J. Head and neck cancer: current challenges and future perspectives. Adv Cancer Res 2021;152:67–102. https://doi.org/10.1016/bs.acr.2021.05.002 Suche in Google Scholar PubMed
32. Huang, R, Zhou, PK. DNA damage repair: historical perspectives, mechanistic pathways and clinical translation for targeted cancer therapy. Signal Transduct Target Ther 2021;6:254. https://doi.org/10.1038/s41392-021-00648-7.Suche in Google Scholar PubMed PubMed Central
33. Chang, HHY, Pannunzio, NR, Adachi, N, Lieber, MR. Non-homologous DNA end joining and alternative pathways to double-strand break repair. Nat Rev Mol Cell Biol 2017;18:495–506. https://doi.org/10.1038/nrm.2017.48.Suche in Google Scholar PubMed PubMed Central
34. Drew, Y, Zenke, FT, Curtin, NJ. DNA damage response inhibitors in cancer therapy: lessons from the past, current status and future implications. Nat Rev Drug Discov 2025;24:19–39. https://doi.org/10.1038/s41573-024-01060-w.Suche in Google Scholar PubMed
35. Lee, SG, Kim, J, Jeong, E, Myung, K. DNA damage response inhibitors in cancer therapy: mechanisms, clinical development, and combination strategies. DNA Repair 2025;153:103887. https://doi.org/10.1016/j.dnarep.2025.103887.Suche in Google Scholar PubMed
36. Di Cecilia, S, Zhang, F, Sancho, A, Li, S, Aguiló, F, Sun, Y, et al.. RBM5-AS1 is critical for self-renewal of colon cancer stem-like cells. Cancer Res 2016;76:5615–27. https://doi.org/10.1158/0008-5472.can-15-1824.Suche in Google Scholar PubMed PubMed Central
37. De Palma, FDE, Del Monaco, V, Pol, JG, Kremer, M, D’Argenio, V, Stoll, G, et al.. The abundance of the long intergenic non-coding RNA 01087 differentiates between luminal and triple-negative breast cancers and predicts patient outcome. Pharmacol Res 2020;161:105249. https://doi.org/10.1016/j.phrs.2020.105249.Suche in Google Scholar PubMed
38. De Palma, FDE, Carbonnier, V, Salvatore, F, Kroemer, G, Pol, JG, Maiuri, MC. Systematic investigation of the diagnostic and prognostic impact of LINC01087 in human cancers. Cancers (Basel) 2022;14:5980. https://doi.org/10.3390/cancers14235980.Suche in Google Scholar PubMed PubMed Central
39. Carron, J, Torricelli, C, Silva, JK, Queiroz, GSR, Ortega, MM, Lima, CSP, et al.. microRNAs deregulation in head and neck squamous cell carcinoma. Head Neck 2021;43:645–67. https://doi.org/10.1002/hed.26533.Suche in Google Scholar PubMed
40. Jiang, M, Liu, F, Yang, AG, Wang, W, Zhang, R. The role of long non-coding RNAs in the pathogenesis of head and neck squamous cell carcinoma. Mol Ther Oncolytics 2021;24:127–38. https://doi.org/10.1016/j.omto.2021.12.001.Suche in Google Scholar PubMed PubMed Central
41. Tran, ET, Patel, RA, Chariyamane, A, Ray, RB. Long non-coding RNAs as therapeutic targets in head and neck squamous cell carcinoma and clinical application. FEBS Open Bio 2025;15:1419–35. https://doi.org/10.1002/2211-5463.70042.Suche in Google Scholar PubMed PubMed Central
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