Clinical trial NCT01700647: Breath Testing in Early and Late Larynx Cancer
Official title: Breath Testing in Laryngeal Cancer- Comparing in Situ Cancer and Advanced Cancer
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Larynx Cancer
Keywords: Larynx cancer
Volatile organic compounds
Diagnosis
Bronchoscopy
Cancer staging
Lead sponsor: Royal Brisbane and Women's Hospital
Sponsor class: OTHER_GOV
First posted: 2012-10-04
Enrollment: 30
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: OTHER
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Patients at risk for larynx cancer

Brief summary: It is possible to test a sample of breath from a patient, run it through a machine, and find out certain diseases in the patient without needing to do Xrays. It is sort of like a"breathalyser".In the future it is hoped this type of testing will be common, and allow certain conditions to be picked up early. One of these conditions is Cancer of the Larynx (voice box). It is not in wide use yet however a study has shown it is very effective in detecting Larynx cancer.

This breath test has detected cancers at a stage when they CAN be seen on Xrays or looking in with cameras. However the larger the cancer ultimately the worse it is for the patient. It would therefore be much better to have the breath test find patients with cancers at a much smaller size. It is interesting that the cancers which the breath test HAVE found all have the same breath test signal, regardless of size. This means even smaller cancers may have the same signal. These small cancers are only 1-2 mm thick, and when found at this size almost all can be cured. We want to find a group of patients who have these early cancers and compare it to breath test result in patients who have large obvious cancers. These patients will be compared to other patients who have are negative for larynx cancer who also have a breath test. We want to prove that their breath test will be negative.

You have been referred either because you have symptoms (such as cough or hoarse voice) and need a scope to look into the airways, OR your specialist has identified a spot on the larynx which needs a biopsy (sample) and then possible treatment, The spot may or may not be cancer- that is why the biopsy is needed. After that the correct treatment would be considered depending on the result, that is, whether it is a cancer or not. If possible we would like to take a test of your breath before the biopsy. Alternatively we can take a breath test 2 weeks after a biopsy.

In summary this study is trying to show whether the breath test is the same in patients who have large cancers as patients with small cancers invisible on XRay and only found with careful magnification by scopes looking in. If we can show these findings it will demonstrate great potential for the breath test to find many more cancers which are truly curable.

Detailed description: Worldwide there are 130 000 new larnx cancers diagnosed annually resulting in 82 000 deaths.Survival after diagnosis of larynx cancer depends on initial stage. For T3N0Mo laryngeal cancers 5-year survival ranges from 59 to 66%. Patients survivals are as follows: receiving either chemoradiation (59.2%), irradiation alone (42.7%) ,patients after surgery with irradiation (65.2%) and surgery alone (63.3%) By contrast in early stage larynx cancer survivals range from 90-100%. Tamura et al reported therapeutic outcomes of 130 cases with laryngeal cancer treated at Kyoto University Hospital between 1995 and 2004\[3\] In all, 121 males and 9 females were involved. Their ages ranged from 40 years to 92 years (average 66 years). All tumors were squamous cell carcinoma - arising at the glottis in 111 cases, the supraglottis in 18, and the subglottis in 1 case. Most glottic cancers (77.5%) were classified as stage I or II, while most supraglottic cancers (77.8%) were at stage III or IV. Stage I/II cancers were basically treated by conventional radiotherapy (60-66 Gy) and twice-daily hyperfractionated radiotherapy (70-74 Gy), respectively, attempting to preserve the larynx. Total laryngectomy with neck dissection was performed in the treatment of stage III/IV cases. Five-year disease-specific survival rates were 100%, 96%, 100%, and 68% for stage I, II, III, and IV, respectively. Five-year laryngeal preservation rates were 98%, 100%, 86%, 0%, and 0% for T1a, T1b, T2, T3, and T4 of glottic cancer, respectively. Local recurrence occurred in five cases of stage I/II glottic cancer, which was successfully salvaged.

Chera et al reported excellent treatment outcomes of definitive radiotherapy (RT) for early-stage squamous cell carcinoma (SCCA) of the glottic larynx. Endoscopic laser resection can also have an excellent outcome in early stage larynx cancer. Schrivers et al \[5\]reported survival analysis on 100 patients with T1a glottic carcinoma treated with CO(2) laser surgery (n = 49) or radiotherapy (n = 51). No significant differences in local control and overall survival were found. Ultimate 5-year laryngeal preservation was significantly better in the CO(2) laser surgery group (95% vs 77%, p = .043).

Volatile organic compound (VOC) breath testing in cancer detection The concept for VOC testing is that VOCs, mostly alkanes and aromatic compounds, are preferentially produced and exhaled by cancer patients and can be used as accurate markers of malignancy. As early as 1971, testing on normal breath identified more than 100 volatile organic compounds In the 1980s Gordon and Preti used mass spectroscopy and gas chromatography to identify specific alterations in the profile of volatile organic compounds in the breath of lung cancer patients\[16\]. In two papers in 1999 and 2003, Phillips further refined this original data to identify a group of 9 volatile organic compounds which were highly sensitive and specific for the presence of lung cancer . The concentration of these alkane and methylalkane oxidative stress products was reduced in the breath of lung cancer patients.

Cross-sectional studies have investigated exhaled biomarkers as a function of disease, both as biomarkers of disease state and as predictive markers. In cross-sectional studies, a control group is compared with a patient or diseased group, and breath markers are analyzed to identify qualitative or quantitative differences between the two groups. Phillips and coworkers \[14\] investigated alveolar gradients (i.e., the abundance in breath minus the abundance in room air) of C4 to C20 alkanes and monomethylated alkanes in the breath as tumor markers in primary lung cancer. They concluded that a breath test for C4 to C20 alkanes and monomethylated alkanes provided a rational new set of markers that identified lung cancer in a group of patients with histologically confirmed disease. The analytical methodology was described in 2003 , where it was reported that amongst smokers and ex-smokers there was a sensitivity for malignancy of 86% (55/64) and a specificity of 83% (19/23). This compared with sensitivity and specificity in non smokers of 66% (2/3) and 78% (14/18). Overall therefore the VOC breath test was not affected by smoking status.

Changes in breath VOC patterns are independent of the size of the lung cancer in that T1 tumours (\<3cm) have a similar breath pattern of abnormality to T4 tumours, raising the possibility that VOC abnormalities may even be detectable at the preneoplastic (severe dysplasia or carcinoma in situ) stage. It describes a comparison between 212 controls without lung cancer and 195 patients with primary lung cancer. The breath test was as likely to be abnormal in stage 1 disease as in stage 4 disease. This implies firstly that as a screening tool VOC breath testing has potential to detect operative curable cases. Secondly, it implies that oxidative changes leading to altered breath VOCs are an early feature of lung cancer development, and that the method may therefore detect the presence of preneoplastic lesions in the bronchial tree.

Breath testing in Laryngeal cancer In a recent article Hakim et al \[24\]described for the first time that Head and Neck cancer can be identified by breath testing.

Alveolar breath was collected from 87 volunteers (HNC and LC patients and healthy controls) in a cross-sectional clinical trial. The discriminative power of a tailor-made Nanoscale Artificial Nose (NA-NOSE) based on an array of five gold nanoparticle sensors was tested, using 62 breath samples. The NA-NOSE signals were analysed to detect statistically significant differences between the sub-populations using (i) principal component analysis with ANOVA and Student's t-test and (ii) support vector machines and cross-validation. The results showed breath testing could clearly distinguish between (i) HNC patients and healthy controls, (ii) LC patients and healthy controls, and (iii) HNC and LC patients. The GC-MS analysis showed statistically significant differences in the chemical composition of the breath of the three groups.

The Cyranose / Enose VOC testing with the eNose allows groups of patients to be tested for differences or similarities of breath signal . A single expired breath is collected in a sample bag then a pump draws the sample into the device where it passes over 32 electronic sensors. Over 400 possible chemicals affect these sensors in different ways, ad a pattern of electronic signals is generated. It is the distribution of the electric signals across the 32 sensors which gives the pattern. Software within the device determines which of the 32 sensors is giving the strongest signal in each test, and uses these sensor results in a combination result called a factor. This is known as Principal Component analysis. When comparing 3 groups of patients the software will generate 2 factors for each breath sample and plot these on a graph. Where a group of patients has a distinctive signal the factor analysis will clump that group together, at a certain "distance" on the graph from the other group. The greater the distance t(Mahalobinus distance) the more different the groups are. Numerous authors have published data on this type of analysis for a variety of disease states, particularly lung cancer. This approach is very easy technically and leads to further study of the individual VOCs which are responsible for the signal. It is likely however based on results from other tumours that a combination of VOCs are present in different amounts in cancer patients as opposed to a single VOC. The ENose approach has not been applied in Head and Neck cancer patients and nor has there been any report of detection of in situ cancer.

Because of the step wise development of squamous cell cancer it is quite possible that In situ cases would be clumped together with advanced cases of Squamous cell carcinoma, and that both would be different to smoking controls. Alternatively it may be the signal in the early cases is different from later stages but different from controls as well, so that both early and advanced cases could be diagnosed from breath testing.

It is known that both CT and VOC breath test can detect stage 1 cancer of the lung which has at least a 50% cure rate. There is potential however that VOC can detect even earlier stages of lung cancer, such as in-situ-carcinoma which when properly staged and treated has over 95% long term cure rate. It is possible that VOC testing will ultimately be used in larynx cancer screening either as the first step (high negative predictive value) or as a second line test to further evaluate equivocal results of screening low dose CT chest. Also, we have expertise in NBI and fluorescence bronchoscopy and our focus is on the management of the type of early lesions found by this approach.

Methods Breath testing will be done using the Cyranose ENose in Thoracic Medicine Established protocol for testing from Lung Cancer study, x 2 single expirations into a collection bag Ideally this would be best done when a lesion has been seen by ENT surgeon but BEFORE it is biopsied (to avoid confounding effects on VOCs of tissue disruption by the biopsy) The ENose software allows comparisons of 3 groups of 10 subjects each - 10 Tis/T1, 10 advanced Larynx Ca, 10 smoking controls with demonstrated normal ENT and tracheobronchial tree.

Patients would have a routine panendoscopy before treatment with NBI to exclude concommittant second primary disease either in head and neck or Bronchial tree

Potential Significance Proof of principal of screening detecting highly treatable lesions Supportive data for similar tumours, particularly Squamous cell carcinoma of the bronchus, viz the benefits of early detection

Procedures All will be done in the Thoracic Mediine department Breath test sampling for VOCs: A portable breath collection apparatus will capture VOCs in a slow vital capacity exhalation breath sample , using Standard Operation Procedure process already in place. Two samples are taken, with the patient breathing gently on a mouthpiece with a nose clip on for 5 minutes each time. Patients should be

1. Nil by mouth
2. No smoking for 12 hours
3. No alcohol for \>24 hours Breath will be processed by 1. The Enose and 2. Gas chromatography/Mass spectroscopy

Eligibility criteria: Inclusion Criteria:

* those with known larynx cancer (either in situ or advanced)
* patients with smoking history referred for bronchoscopy or laryngoscopy

Exclusion Criteria:

* other solid tumours
* inability to undergo bronchoscopy/laryngoscopy

Primary outcomes:
measure: Difference in breath test signal for diagnosis
timeFrame: 12 months
Secondary outcomes:
measure: Individual VOCs identified by MSGC
timeFrame: 12 months
Other outcomes:
measure: Separation of VOC profile of CIS versus advanced cancer
timeFrame: 2 years
Locations:
city: Brisbane
country: Australia
facility: Royal Brisbane and Womens Hospital
state: Queensland
Study officials:
affiliation: Royal Brisbane and Womens Hospital
name: David I Fielding, FRACP MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Hakim M, Billan S, Tisch U, Peng G, Dvrokind I, Marom O, Abdah-Bortnyak R, Kuten A, Haick H. Diagnosis of head-and-neck cancer from exhaled breath. Br J Cancer. 2011 May 10;104(10):1649-55. doi: 10.1038/bjc.2011.128. Epub 2011 Apr 19.