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Journal of Case Reports and Studies

ISSN: 2348-9820

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Exhaled Volatile Organic Compounds in Patients with a Medical History of Cancer/Dysplasia

Received Date: November 16, 2020 Accepted Date: December 18, 2020 Published Date: December 21, 2020

Copyright: © 2020 Donatini B. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Background: Exhaled Volatile Organic Compounds (E-VOCs) have been associated with cancer and may help to early detection or even identify pre-cancerous status.

Objective: We investigated whether a new ambulatory device is able to detect specific E-VOCs in patients with a medical history of cancer or dysplastic lesions and to which medical conditions they are associated.

Methods: All data were collected during routine consultations for Small Intestinal Bowel Overgrowth (SIBO). A breath test was performed by X-PID 9500®.

Results: 650 patients were included. 133 patients reported cancer or dysplasia. Three medical statuses associated with cancer/dysplasia were identified: TH1-immunosuppression, tissue destruction or vagal impairment.

Patients of the cancer/dysplasia group exhale more frequently specific E-VOCs (cluster 58 to 74.9s), especially for digestive lesions. The sensitivity of the E-VOCs cluster 58 to 74.9s to identify patients with a medical history of digestive cancer or dysplastic lesions is 95.0%.

The specificity is 82.8%. The positive predictive value is 43.7% and the negative predictive value is 99.2%.

We hypothesized that the cluster 58 to 74.9s could be an early marker of local tissue alteration entangling the three above-mentioned mechanisms.

Conclusion: X-pid 9500® is able to detect E-VOCs associated with cancer/dysplasia in ambulatory practice. Further studies are necessary to investigate the type and the localisation of the implicated dysbiosis as well as the influence of the diet on these E-VOCs.

Keywords: Breath test; Cancer; Chromatography

List of abbreviations: CMV: Cytomegalovirus; COVID-19: Coronavirus Disease; EMT: Epithelial Mesenchymal Transition; E-VOCs: Exhaled Volatile Organic Compounds; FN: Fusobacterium nucleatum; HPV: Human papillomavirus; HRV: Heart Rate Variability; LMW-HA: Low Molecular Weight Hyaluronic Acid; NPV: Negative predictive value; PPV: Positive predictive value; RT: Retention time; Se: sensitivity; SIBO: Small Intestinal Bowel Overgrowth; Sp: Specificity; UC: Ulcerative Colitis

Introduction

Imbalanced intestinal microbiota may favour chronic inflammation/destruction of mucosa, vagal impairment, as well as decreased immunity [1,2]. Regarding the latter point, gut microbiota may impact for example the efficacy of checkpoint inhibitors in anti-cancer immunotherapy [3-5] or the occurrence of mild Coronavirus Disease (COVID-19) [6].

Intestinal microbiota can be studied by the analysis of exhaled gases such as hydrogen or methane [7-10].

Many authors reported links between specific exhaled volatile organic compounds (E-VOCs) and cancers [11,12], especially for breast [13,14], digestive tract [15-18] or prostate [19].

Specific E-VOCs are possibly related to gut-TH1-immunosuppression and consequently may favour opportunistic infections such as mild COVID-19 [6]. Hindered TH1-immunity or excess of T-regulators favours the occurrence of cancers, especially those virus-related (like human-papillomavirus (HPV)-induced cervix epithelioma) [20] or adenocarcinoma of the gut [21].

Altered oral or gut microbiota may be responsible for chronic mucosal inflammation and destruction. For example, Fusobacterium nucleatum (FN) proliferation may impair mucosal barrier or gut immunity, and induce molecular alterations [22]. FN has been implicated in periodontitis [23], ulcerative colitis (UC) [24,25] or colonic adenocarcinoma [26,27]. FN may eventually trigger Epithelial-Mesenchymal Transition (EMT) and therefore promote the transformation of colitis into dysplastic mucosa [28]. In animal models, E-VOCs in the urine may varie according to EMT or a specific EMT-associated environment [29].

Nickel allergy should also be considered as a cause of mucosal damage [30].

E-VOCs may be a marker of destruction or inflammation itself rather than a marker of cancer per se [31,32]. E-VOCs may therefore precede the occurrence of dysplasia and may detect early predisposing medical or physiological conditions.

Eventually, neuroimmunomodulation and the role of the vagus nerve in cancer have recently been emphasized [33-36]. E-VOCs may also be the consequence of altered gastro-intestinal voiding.

We investigated whether a specific E-VOC or a range of E-VOCs detected with a new ambulatory device (X-PID- 9500) was associated with a medical history of cancer or documented dysplasia. We also investigated whether arguments collected in an ambulatory ward were rather in favour of immunosuppression, tissu destruction or altered vagal tone.

We collected data which may be related to: 1) TH1-immunosuppression (opportunistic infections such as herpetic flares, IgG against cytomegalovirus (CMV) or mild COVID-19, 2) destruction of tissues (increased serum low-molecular-weight hyaluronic acid (LMW-HA), periodontitis, ulcerative colitis, or nickel allergy), 3) vagal impairment (gastroparesia, arrhythmia, osteopenia, and depression).

Heart rate variability (HRV) is a recognized marker of vagal tone [37,38]. Gastric emptying correlates with HRV [39]. Abdominal ultrasound is routinely performed in all patients coming for SIBO. We took advantage of the ultrasound examination to investigate gastric, jejunal and ileal movements [40,41].

Material and methods

This work is a descriptive retrospective epidemiological study.

Data were collected during the normal course of routine gastroenterological consultations for Small Intestinal Bowel Overgrowth (SIBO), from 2020 March 1st to 2020 September 30th.

There was no hypothesis testing before data collection, no data collection beyond that which is part of routine clinical practice, no scheduled data analysis before the work has already been done. This retrospective analysis of Case Series cannot therefore be qualified as “research” and does not requires approval from ethics boards designed to protect humans involved in clinical research, according to the International Committee of Medical Journal Editors (ICMJE).

Inclusion criteria

Patients consulting for SIBO and who underwent a breath test. Patients should provide with a full medical history, especially regarding cancer and precancerous lesions, herpes simplex, herpes zoster, periodontitis, nickel intolerance, ulcerative colitis, depression, thyroid pathologies, auto-immune diseases, allergic reactions, arrhythmia, depression, osteoporosis, body weight and height, as well as diabetes mellitus.

CMV serology, serum hyaluronic acid titration and transabdominal plus thyroid ultrasound examinations are routinely performed in patients consulting for SIBO.

Patients signed a written consent for the possible retrospective use of the collected data.

Exclusion criteria

Ongoing tobacco abuse (which may interfere with E-VOCs); lack of CMV serology or of hyaluronic acid analysis; lack of transabdominal ultrasound; lack of signed consent for possible retrospective epidemiological use of data; uncontrolled diabetes mellitus; lack of breath test or recent intake of antibiotic therapy or of essential oils leading to massive destruction of the digestive flora and less than 2 ppm of E-VOCs at the first measure, after 10 hours of fasting; uncontrolled endocrine disease (including thyroid insufficiency); incomplete data on drug or food complement intake.

Medical history of cancer or precancerous lesions

All type of cancer or dysplasia were included. Lesions should have been histologically documented. As a consequence, non-dysplastic polyps were not included in the cancer group. Gallbladder polyps diagnosed by ultrasound examination were therefore not graded as dysplastic polyps.

Ultrasound examination

Gastroparesis was diagnosed when the surface of the stomach reached 10 cm² after 10 hours of fasting. Ileal distension was diagnosed as soon as ileal diameter reached 2.2 cm at the ileocecal junction. Lack of gastro-duodenal voiding was diagnosed when no evacuation of bubbles between the superior mesenteric artery and the aorta was observed after 2 minutes of osteopathic abdominal manoeuvers. Jejunal hypotonia could also be implicated. In that case, the jejunum contains few bubbles and no peristalsis is visualized [40,41]. Abdominal ultrasound examination also enables to diagnose liver steatosis.

Gas measurement

The patient comes after at least 10 hours of fasting. He /she inhales room air and hold his/her breath for 20 seconds. He/she exhales the air of the lungs in a first neutral plastic bag (1.3 litre) and afterwards he/she exhales at least 100 ml (expected to belong to the expiratory reserve volume) in a small neutral plastic bag (Contralco®; Gignac; France; www.contralco.com).

E-VOCs from the second bag are then immediately measured by the X-pid 9500®, an ambulatory gas chromatograph associated with photoionization detection technology [Dräger; Lubeck; Germany; www.draeger.com › Products › Multi-Gas-Detectors]. X-pid 9500® detects Volatile Organic Compounds (VOCs) concentrations as low as 50 ppb. Isobutylene and methylacetate are detected within 5.6 to 6.4 seconds, isobutyric, butyric and acetic acids between 7.0 and 7.9 seconds, toluene between 42 and 44 seconds, m-xylene or p-xylene between 90 and 97 seconds and o-xylene around 115 seconds.

X-pid 9500® does not detect hydrogen and is therefore not suitable for the detection of SIBO related to sugar-malabsorption. X-pid 9500® was used after breath holding and only after fasting, not after sugar intake.

The air of the first bag is analysed by the Dräger X-am® 8000. We routinely use the Dräger X-am® 8000 [Dräger; Lubeck; Germany; www.draeger.com › Products › Multi-Gas-Detectors] to measure hydrogen before and two hours after the intake of lactulose in order to diagnose SIBO related to sugar-malabsorption. Results will be published separately.

Both devices are easily portable and equipped with powerful pumps. Patients could be placed in separate rooms when necessary. The setup is basic and similar for both devices. It requires only a short neutral tube to connect the bag and the device.

The results are quantified and directly exported in Excel tables.

Statistics

Comparisons of percentages or means used two-sample t-tests. Yates correction was used for small samples.

Cancer group and control group were compared for clinical parameters and E-VOCs. Since peaks of E-VOCs may be numerous, we looked for clusters. A cluster contains several E-VOCs with close retention times and which are separated from other clusters by at least 1 second of retention time. A cluster is therefore a group of E-VOCs within a specific range of retention time, separated from other clusters and without overlapping.

Since E-VOCs and clinical diseases could be associated, additional comparisons of subgroups could be performed to identify dependent and independent variables. Because of the large number of tests necessary for this specific analysis the threshold of statistical significance was set to p0.01.

Sensitivity, false positive ratio, negative predictive value and positive predictive value were calculated for the most relevant E-VOCs cluster.

Control group

All consulting patients were pre-included in the study and no case was discarded except when at least one exclusion criteria was identified. As a consequence no recruitment or selection bias is expected. The control group is equal to the total number of included patients minus the cancer group.

Classical demographic data will be compared. The control group appears appropriate.

Results

This descriptive epidemiological study includes 650 patients.

133 patients have a medical history of cancer or dysplasia (cancer group). Four patients experienced two types of lesions. Most cancerous events concerned digestive tract, breast or were HPV-related. Details are provided in Table 1. Please note that gallbladder polyps (13 cases) were not included in the cancer group since dysplasia was not histologically documented.

The descriptive demographic data are summarized in Table 2. The control group contain all patients without cancer or dysplasia and includes patients with gallbladder polyps.

Patients in the cancer group were older (however less than 5 years of age) than in the control group. Body Mass Indexes were similar.

Cancer/dysplasia was more frequently associated with: 1) TH1-immunosuppression such as opportunistic infections (Mild COVID-19 infection or CMV IgG+), 2) tissue destruction (nickel intolerance, ulcerative colitis), 3) vagal impairment (osteopenia, gastroparesis or depression): Respectively: 7.5% versus 3.1% (p0.001), 19.5% versus 12.8% (0.001), 8.3% versus 3.7% (0.001), 12.0% versus 5.0% (p0.001), 9.8% versus 5.8% (0.001), 20.3% versus 15.9% (p0.001) and 15.0% versus 9.3% (p0.001). Serum LMW-HA level was higher in cancer/dysplasia group: 62.4 μg/l +/- 29.8 versus 29.9 μg/l +/-13.1 (p0.001) Table 3.

The cancer group and the control group did not differ regarding other clinical parameters, especially for arrhythmia Table 4.

Glycaemia was similar in both groups (5.1 +/- 0.6 versus 5.3 +/- 0.9 μmol/l; p>0.05).

Neutrophil/lymphocyte ratio or eosinophil counts were normal in both groups: respectively 1.83 +/- 0.96 versus 1.83 +/- 1.03 and 198 +/- 177 cells/mm3 versus 178 +/-147.

Eight clusters of E-VOCs were identified: E-VOCs with retention time (RT) 42s; E-VOCs with RT between 42 and 44.9 seconds; E-VOCs with RT between 45 and 57.9s; E-VOCs with RT between 58 and 74.9s (cluster 58 to 74.9; including butyl acetate), E-VOCs with RT between 75 and 84.9s, E-VOCs with RT between 85 and 89.9s, E-VOCs with RT between 90 and 97s and E-VOCs with RT above 97s.

Cluster 58 to 74.9s, cluster 75 to 84.9, cluster 85 to 89.9s, cluster 90 to 97s and cluster above 97s were more frequently detected in the cancer group. Respectively: 84.2% versus 14.1%, 28.6% versus 17.6%; 10.5% versus 4.2%, 27.8% versus 16.4% and 48.9% versus 34.0% (p0.001) Table 5.

Cluster 58 to 74.9s appears particularly interesting.

We investigated the relevance of the cluster 58 to 74.9s for patients with digestive cancer/dysplasia, with breast cancers (only infiltrating ductal cancer not BCRA+), or with HPV-related dysplasia Table 6.

The sensitivity of the VOCs cluster 58 to 74.9s to identify patients with a medical history of cancer or dysplastic lesions is 84.2%. The specificity is 85.9%. The positive predictive value is 60.5% and the negative predictive value is 95.5% Table 7.

The sensitivity of the VOCs cluster 58 to 74.9s to identify patients with a medical history of digestive cancer or dysplastic lesions is 95.0%. The specificity is 82.8%. The positive predictive value is 43.7% and the negative predictive value is 99.2%.

The sensitivity of the VOCs cluster 58 to 74.9s to identify patients with a medical history of breast cancer is 73.7%. The specificity is 72.9%. The positive predictive value is 7.6% and the negative predictive value is 98.9%.

The sensitivity of the VOCs cluster 58 to 74.9s to identify patients with a medical history of HPV-related dysplasia is 78.9%. The specificity is 73.1%. The positive predictive value is 8.1% and the negative predictive value is 99.1% Table 8.

Serum LMW-HA level was increased in the digestive cancer/dysplasia group (66.5 μg/l +/- 27.4 versus 32.3 μg/l +/- 15.0; p0.001).

Serum LMW-HA level was increased in the breast cancer group (61.8 μg/l +/- 30.0 versus 35.8 μg/l +/- 16.1; p0.001).

Serum LMW-HA level was not increased in the HPV-related group (48.3 μg/l +/- 36.2 versus 36.2 μg/l +/- 15.9; NS) Table 8.

We investigated whether cluster 58 to 74.9s was associated with other medical status than cancer/dysplasia Table 9.

Cluster 58 to 74.9s was not correlated with serum hyaluronic acid levels.

Cluster 58 to 74.9s was associated with the same medical conditions as cancer/dysplasia, except for vagal impairment, and especially arrhythmia. Arrhythmia without cancer/dysplasia may therefore lead to false positive results regarding cancer detection.

When patients with arrhythmia (52 patients) are excluded from the analysis, the sensitivity of the VOCs cluster 58 to 74.9s to identify patients with a medical history of digestive cancer or dysplasia raised to 96.1%, the specificity to 87.4%, the positive predictive value to 52.5% and the negative predictive value to 99.3% Table 7.

We checked whether or not age (Table 10) and gender (Table 11) have an influence on relevant clinical parameters, especially on the cluster 58 to 74.9s. The median age of the cohort is 52 years of age.

Age is mainly associated with vagal impairment: gastroparesis, osteopenia, depressive mood and arrhythmia.

Age or gender has no influence on regarding digestive cancer/dysplasia. Age has little or no influence on the presence of cluster 58 to 74.9s: only a trend is detected.

Age as well as gender is associated with an increased risk of all cancers/dysplasia. Gender has an influence on the presence of cluster 58 to 74.9s. However, the association between cluster 58 to 74.9s and breast cancer or HPV-induced dysplasia should be taken into consideration.

Discussion

Clinical parameters and immunity

As expected, patients with a medical history of cancer/dysplasia were older than those of the control group [42]. However, when patients older than 52 years of age were compared to the group with younger patients, no statistical difference was found regarding digestive cancer/dysplasia. No clinical picture suggestive of TH1-immunosuppression or of tissue destruction was identified. Only vagal impairment, such as gastroparesis, osteopenia, depressive mood or arrhythmia, was clearly age-related.

In French Public Health Authority’s recommendations, age above 50 is considered as a major criterion to start screening for colorectal carcinoma [43]. However, there is less than 5 years difference between the cancer/dysplasia group and the control group with a standard deviation close to 14 years. Therefore, aging does not appear to be the most relevant physiological parameter influencing the occurrence of cancer/dysplasia.

Gender is associated with an increased risk of all cancers/dysplasia and has an influence on the presence of cluster 58 to 74.9s. These results may be explained by the fact that female patients experience breast adenocarcinoma or HPV-induced dysplasia which are both associated with cluster 58 to 74.9s.

Only one patient reported a promoting genetic factor: i.e. BCRA2+. Mutations do not appear to be key factors of cancer occurrence in usual medical practice.

Gender percentages, body mass index, glycaemia, neutrophil/lymphocyte ratio or eosinophil counts were similar in both groups

Allergy, autoimmunity, herpetic flares, periodontitis, or previous treatment with isotretinoin (which has been associated with severe malabsorption [44]) were also not discriminatory parameters.

In this cohort, the most relevant clinical parameters associated with cancer/dysplasia were those which suggest: 1) an underlying immunosuppressive condition (opportunistic COVID-19 infection, IgG CMV+, UC, nickel intolerance), 2) tissue destruction (UC, nickel intolerance, high serum hyaluronic acid levels) or 3) vagal impairment (osteopenia, gastroparesis, and depressive mood).

TH1-immunosuppression; perhaps mainly interferon related

Neutrophil/lymphocyte ratio or eosinophil counts are considered to be reliable marker of immunity, especially in patients with colonic cancer [45-48]. They were normal in both groups. Immunosuppression can therefore not be explained by a decreased number of immune cells.

IFNs play a key role in anticancer immunity [49-51]. Cancerous patients are at increased risk to develop opportunistic infections such as COVID-19 [52].

In this cohort, most of the cancer or precancerous lesions have a digestive origin. The association between interferon, natural killer cell activity and the risk of colorectal neoplasia is well established [53-55].

Interestingly, E-VOCs may contain fatty acids produced by bacteria. Fatty acids are known to interfere with Natural killers functions [56,57].

Interferon-auto-antibodies are frequently induced by CMV infection [58-61], which may explain the link between IgG CMV+ and cancer/dysplasia in this study

Decreased interferon level may favour nickel intolerance [62].

It is noteworthy that a higher prevalence of nickel intolerance is observed in patients with UC [63].

UC flares are mainly dependant on TH17 cells [64]. Many patients received anti-TNF alpha therapy which may down-regulate TH1 and TH17 status. UC is a well-recognized risk factor of digestive cancer/dysplasia [65,66]. The altered intestinal microflora and metabolic perturbations may be responsible for the development of UC into CRC [67].

We may conclude that patients with opportunistic COVID-19 infection, IgG CMV+, nickel intolerance, treated UC could present with a decreased IFNs level and therefore may be at increased risk cancer/dysplasia.

Cluster 58 to 74.9s may be a marker of TH1-immunosuppression. A role of mucosal destruction (due to inflammatory dysbiosis or reactivation of herpesviridae) in the occurrence TH1-immunosuppression is possible.

Cluster 54 to 74.9s is independent of autoimmunity since Hashimoto thyroiditis or psoriasis is not more frequently reported in these patients.

Multiple sclerosis [68,69] and rheumatoid arthritis [70,71] are at least partly associated with an increased TH1immunity and did not favour the occurrence of cancer/dysplasia. They are not more frequently reported by patients who exhaled cluster 58 to 74.9s.

Autophagy, through the cleaning of inflammatory bacteria or fungi, controls the quality of the digestive microbiota [72]. Consequently autophagy decreases inflammation and excessive apoptosis [73]. A positive feedback by small chain fatty acids produced by bacteria stimulates autophagy [74]. Adequate microbiota enables the efficacy of checkpoint inhibitors [3-5] which triggers apoptosis of cancerous cells without inflammation for normal cells. E-VOCs may be a marker of altered autophagy or altered apoptosis. However, we found no published data on specific E-VOCs associated with PDL-1, PD-1, CTLA-4 or autophagy.

Tissue inflammation/destructionVagal

In a preliminary study, we reported that severe periodontitis is associated with an increased level of LMW-HA, and with an increased risk of adenocarcinoma [75].

LMW-HA is known to increase endothelial permeability, to stimulate receptors of cancer stem cells and to favour cancer cells metastasis. Migration of stem-cells according to LMW-HA gradient has been documented [76-79].

In this retrospective epidemiological study, LMW-HA (the only form of HA to be found in serum) was increased in patients with exhaled cluster 58 to 74.9s as well as with digestive cancer/dysplasia or with breast cancer.

Although increased levels of LMW-HA have been reported in cervix ripening during premature labour [80], we did not find any association between increased LMW-HA levels and cervix dysplasia.

LMW-HA hyperproduction or release could be associated rather with adenocarcinoma than with epithelial cancer.

Celiac-like mucosal atrophy has recently been documented in nickel intolerance [30]. Nickel intolerance may favour UC [63]. UC and nickel intolerance appears to be clinical pictures associated with immunosuppression and mucosal destruction.

Cluster 58 to 74.9s is not associated with increased levels of serum hyaluronic acid. It may rather detect gut-immunosuppression or vagal impairment.

Vagal impairement

Heart rate variability is a key parameter to measure vagal tone [37,38].

Decreased HRV is associated an increased risk of sudden death of cardiovascular origin, including arrhythmia [81,82], and of decreased survival in patients with cancer [83,84]. HRV is decreased in patients with depressive mood [85-87], gastroparesis [39] or osteopenia [88,89].

Arrhythmias do not occur more frequently in the cancer group. However, they were more frequently reported in patients with exhaled cluster 54 to 74.9s. Gastroparesis is also associated with this cluster.

Vagal impairment could explain the occurrence of arrhythmia [90-92] as well as of gastroparesis [93, 94]. Please note that gastroparesis and osteopenia are correlated with age. Vagal impairment increases with aging [95-97] and may explain these results. However arrhythmia was not age-dependent.

In animal experiments, vagal impairment may induce altered-T-regulation leading to colitis [98-100].

An increased level of IL17 may be detected in arrhythmia, however, no increased frequency of decreased level of IFNs has been reported [101,102].

We hypothesized that cluster 54 to 74.9s could be a marker of vagal impairment.

HRV has not been collected in this study performed in an ambulatory gastroenterological ward. Gastric emptying – which is correlated with HRV [39] – was selected as the digestive marker of vagal impairment. However, since vagal dysfunction may be a corner stone for the occurrence of arrhythmia, dysimmunity-induced inflammation/destruction, it appears useful to systematically measure HRV in ambulatory consultation for SIBO.

VOCs or more specifically Cluster 58 to 74.9s has never been reported before in patients with altered-HRV.

Cluster 92 to 97s has been reported with depression [103]. These microbiota-induced VOCs are however rather inducing direct central-nervous system toxicity than a marker of inflammation/destruction of mucosa.

Exhaled VOCs

In this cohort, an association has been found between cluster 58 to 74.9s and cancer/dysplasia. This association increases when only digestive lesions are considered, especially when patients with arrhythmia are excluded.

The sensitivity of the E-VOCs cluster 58 to 74.9s to identify patients without arrhythmia and with a medical history of digestive cancer or dysplasia is 96.1%. The specificity is 87.4%. The positive predictive value is 52.5% and the negative predictive value is 99.3%.

It is noteworthy to point out that the cluster 58 to 74.9s is not associated with an increased in serum hyaluronic acid, and is associated with arrhythmia. Cluster 58 to 74.9s, may hinder vagal function without destruction of mucosal tissues.

Cluster 58 to 74.9s may contain butyl acetate which belongs to exhaled human volatilome and which is used for human presence detection of hidden or entrapped people [104].

To our knowledge, such a gas has never been reported in association with cancer/dysplasia.

This cluster is unlikely related to COVID-19 infection itself [6].

Further analyses are required to investigate whether specific intake of sugars may modify or not this cluster. The delay before the hypothetical modification will also indicate approximatively the localisation of the dysbiosis: stomach, duodenum, jejunum, ileum or caecum.

Conclusion

All relevant clinical variables associated with cancer/dysplasia are associated with TH1-immunosuppression, tissue destruction or vagal impairment. All three conditions appear to be entangled when the diseases come to clinical expression.

The cluster 58 to 74.9s of E-VOCs is associated with cancer/dysplasia, especially of digestive origin. This cluster might be a good marker of gut-TH1-immunosuppression and vagal disturbances. The sensitivity of this cluster to identify patients with a medical history of digestive cancer or dysplastic lesions is 95.0%. The specificity is 82.8%. The positive predictive value is 43.7% and the negative predictive value is 99.2% which is quite performant for a non-expensive, ambulatory device and for a test which requires less than two minutes.

The cluster 58 to 74.9s appears to be rather a marker of severely altered physiological status with long term tissues consequences at the contact of inflammatory agents rather than of cancer per se or of mild-COVID-19 infection per se.

X-PID 9500® may become an ambulatory tool for detection of detection of increased risks of viral infection or cancer.

Further analyses are necessary to investigate where the inflammation associated with the cluster 58 to 74.9s takes place and which type of diet may trigger or abate it.

Acknowledgment(S) and Conflicts of Interest

No conflict of interest to disclose.

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JOURNAL OF CASE REPORTS AND STUDIES

Tables at a glance
Table 1
Table 2
Table 3
Table 4
Table 5
Table 6
Table 7
Table 8
Table 9
Table 10
Table 11

 

Organs

 

Type of lesions

Number of cases*
137 cases: 48 cancers and 89 dysplasia for 133 patients

 

Digestive tract

Dysplastic colorectal polyps Colorectal cancer
Stomach Pancreas
Ulcerative colitis with dysplasia Cholangiocarcinoma
Barret syndrome with dysplasia

66
3
3
3
3
1
1

 

Breast

Infiltrating ductal cancer
Lobular cancer with mucin-secreting signet-ring cells Infiltrating cancer, BCRA2+

19
1
1

 

Organs

 

Type of lesions

Number of cases*
137 cases: 48 cancers and 89 dysplasia for 133 patients

 

Cervix or vulva

HPV-related dysplasia Cervix
Vulva

 

17
2

prostate

Adenocarcinoma

4

Ovary

Adenocarcinoma

3

Endometria

Adenocarcinoma

2

Myeloma

 

2

Others**

 

6

* 4 patients experienced 2 types of lesions
** others: bladder, vagina, thyroid, melanoma, liposarcoma and gastrointestinal stromal tumour
Table 1: Details of the 137 reports of cancers or dysplasia

 

Cancer group 133 patients

Control Group 517 patients

P values

Females
% (number of cases)

74.4% (99)

65.4% (338)

>0.05

Age (years)
Mean+/- standard deviation

54.6 +/- 12.5

49.7 +/- 15.5

<0.001

Body Mass Index
Mean+/- standard deviation

22.2 +/- 4.01

23.2 +/- 4.36

>0.01

Table 2: Descriptive demographic data of the 650 included patients, according to cancer group (133 patients) and control group (517 patients)

 

 

Cancer group 133 patients

Control Group 517 patients

P values

 

TH1-immunosuppression

Opportunistic Mild Covid-19

10 (7.5%)

16 (3.1%)

<0.001

IgG CMV+

26 (19.5%)

66 (12.8%)

<0.001

 

Destruction of tissues

Nickel intolerance

11 (8.3%)

19 (3.7%)

<0.001

Ulcerative colitis

16 (12.0%)

28 (5.0%)

<0.001

Serum Hyaluronic acid

62.4 µg/l +/- 29.8

29.9 µg/l +/-13.1

<0.001

 

Vagal impairment

Osteopenia

13 (9.8%)

30 (5.8%)

<0.001

Gastroparesis

27 (20.3)

82 (15.9%)

<0.001

Depressive mood

20 (15.0%)

48 (9.3%)

<0.001

Table 3:Relevant clinical differences between the cancer group and the control group

 

 

Cancer group 133 patients

Control Group 517 patients

P values

Oral or nasal herpetic flares

64 (48.1%)

211 (40.8%)

>0.02

Allergy

32 (24.1%)

141 (27.3%)

>0.05

Urticaria

16 (12.0%)

50 (9.7%)

>0.05

Thyroid nodules

32 (24.1%)

161 (31.1%)

>0.05

Psoriasis

21 (15.8%)

91 (17.6%)

>0.05

Previous treatment with oral isotretinoin

13 (9.8%)

67 (13.0%)

>0.05

Periodontitis

44 (33.1%)

167 (32.3%)

>0.05

Arrhythmia

8 (6.0%)

45 (8.7%)

>0.05

Rheumatoid arthritis or multiple sclerosis

2 (1.5%)

21 (4.1%)

>0.05

Glycaemia

5.1 +/- 0.6 µmol/l

5.3 +/- 0.9 µmol/l

>0.05

Neutrophil/lymphocyte ratio

1.83 +/- 0.96

1.83 +/- 1.03

>0.05

Eosinophil counts

198 +/- 177 cells/ mm3

178 +/-147 cells/mm3

>0.05

Table 4: Clinical parameters which did not differ between the cancer group and the control group

 

 

Cancer group 133 patients

Control Group 517 patients

P values

RT <42s

60 (45.1%)

287 (55.5%)

>0.05

RT between 42 and 44.9s

6 (4.5%)

24 (4.6%)

>0.05

RT between 45 and 57.9s

42 (31.6%)

155 (30.0%)

>0.05

RT between 58 and 74.9s

112 (84.2%)

73 (14.1%)

<0.001

RT between 75 and 84.9s

38 (28.6%)

91 (17.6%)

<0.001

RT between 85 and 89.9s

14 (10.5%)

22 (4.2%)

<0.001

RT between 90 and 97s

37 (27.8%)

85 (16.4%)

<0.001

RT>97s

65 (48.9%)

176 (34.0%)

<0.001

Table 5: Comparison of occurrence of E-VOCs in the Cancer group versus the control group

 

Cancer group

Control Group

P values

 

Number of patients

Number (Percentage) with cluster 58 to 74.9s

Number of patients

Number (Percentage) with cluster 58 to 74.9s

 

Digestive tract

80

76

570

109

<0.001

(95%)

(19.1%)

Breast

19

14

631

171

<0.001

(73.7%)

(27.1%)

HPV-related

19

13

631

172

<0.001

(68.4%)

(27.3%)

All cancers/dysplasia

133

112

517

73

<0.001

(84.2%)

(14.1%)

Table 6:Percentages of the three main types of cancer/dysplasia according to cluster 58 to 74.9s

 

Diseases

 

 

Number of patients

Cluster 58 to 74.9s

 

Control group

Se§ Sp PPV NPV

 

Yes

133

112 (a)

21 (c)

84.2%

All cancers/dysplasia

85.9%
60.5%

No

517

73 (b)

444 (d)

 

95.5%

 

Yes

80

76 (a)

4 (c)

95.0%

Digestive cancer/dysplasia

82.8%
43.7%

No

570

109 (b)

461 (d)

 

99.2%

 

Yes

19

14 (a)

5 (c)

73.7%

Breast cancer

72.9%
7.6%

No

631

171 (b)

460 (d)

 

98.9%

 

Yes

19

15 (a)

4 (c)

78.9%

HPV-induced dysplasia

73.1%
8.1%

No

631

170 (b)

461 (d)

 

99.1%

 

Digestive cancer/dysplasia in patients without arrhythmia

Yes

76

73 (a)

3 (c)

96.1%
87.4%
52.5%
99.3%

 

No

 

522

 

66 (b)

 

456 (d)

§ Se=a/(a+c); Sp=d/(b+d); PPV=(Se*prevalence)/(Se*prevalence+(1-prevalence)*(1-Sp)); NPV=Sp*(1-prevalence)/(Sp*(1-prevalence)+prevalence*(1-Se)); prevalence=(a+c)/(a+b+c+d)
Table 7: Sensitivity (Se), Specificity (Sp), Positive predictive values (PPV), Negative predictive values (NPV) of VOCs 58 to 74.9s for patients with cancer/dysplasia, digestive cancer/dysplasia, breast cancer, HPV-induced dysplasia or for the subgroup of patients with digestive cancer/dysplasia and without arrhythmia

 

Cancer/dysplasia group

Control Group

P values

Number of patients

LMW-HA levels

Number
of patients

LMW-HA levels

 

Digestive tract

80

66.5 µg/l +/- 27.4

570

32.3 µg/l +/- 15.0

<0.001

Breast

19

61.8 µg/l +/- 30.0

631

35.8 µg/l +/- 16.1; p<0.001

<0.001

HPV-related

19

48.3 µg/l +/- 36.2

631

36.2 µg/l +/- 15.9

>0.05

All cancers/dysplasia

133

62.4 µg/l +/- 29.8

517

29.9 µg/l +/-13.1

<0.001

Table 8: Serum LMW-HA levels according to the type of cancer/dysplasia or in control group

 

Cluster 58 to 74.9s
185 patients

Control group
465 patients

P values

Arrhythmia

48 (26.5%)

4 (0.65%)

<0.001

Gastroparesis

41 (21.8%)

68 (14.7%)

<0.001

Opportunistic
COVID-19

15 (8.0%)

11 (2.4%)

<0.001

Nickel intolerance

14 (7.4%)

16 (3.5%)

<0.001

UC

19 (9.6%)

28 (5.2%)

<0.001

Osteopenia

16 (8.5%)

27 (5.8%)

<0.001

Depressive mood

27 (14.4%)

41 (8.9%)

<0.001

Serum Hyaluronic acid

31.4 µg/l +/- 13.0

38.6 µg/l +/-17.9

>0.05

Autoimmunity
 Thyroiditis
 Psoriasis

 

45 (24.3%)
35 (18.9%)

 

148 (31.8%)
77 (16.6%)

 

<0.01; >0.001
>0.05

IgG CMV+

31 (16.5%)

61 (13.2%

<0.01; >0.001

Table 9: Serum LMW-HA levels, arrhythmia, gastroparesis, autoimmunity, osteopenia, depressive mood, COVID-19 infection, nickel intolerance, IgG CMV+ or UC according to cluster 58 to 74.9s

 

Organs

 

Type of lesions

Number of cases*
137 cases: 48 cancers and 89 dysplasia for 133 patients

 

Digestive tract

Dysplastic colorectal polyps Colorectal cancer
Stomach Pancreas
Ulcerative colitis with dysplasia Cholangiocarcinoma
Barret syndrome with dysplasia

66
3
3
3
3
1
1

 

Breast

Infiltrating ductal cancer
Lobular cancer with mucin-secreting signet-ring cells Infiltrating cancer, BCRA2+

19
1
1

* Inversely correlated
Table 10: Relevant clinical status and cluster 58 to 74.9s between patients above 52 years of age and below 52

Organs

 

Type of lesions

Number of cases*
137 cases: 48 cancers and 89 dysplasia for 133 patients

 

Digestive tract

Dysplastic colorectal polyps Colorectal cancer
Stomach Pancreas
Ulcerative colitis with dysplasia Cholangiocarcinoma
Barreth="360" valign="top">

Infiltrating ductal cancer
Lobular cancer with mucin-secreting signet-ring cells Infiltrating cancer, BCRA2+

19
1
1

Table 11: Relevant clinical status and cluster 58 to 74.9s according to gender