Literature DB >> 31747406

Association of clinical factors with survival outcomes in laryngeal squamous cell carcinoma (LSCC).

Pei Yuan Fong1, Sze Huey Tan2, Darren Wan Teck Lim1, Eng Huat Tan1, Quan Sing Ng1, Kiattisa Sommat3, Daniel Shao Weng Tan1, Mei Kim Ang1.   

Abstract

AIM: Treatment strategies in laryngeal squamous cell cancer (LSCC) straddle the need for long term survival and tumor control as well as preservation of laryngeal function as far as possible. We sought to identify prognostic factors affecting LSCC outcomes in our population.
METHODS: Clinical characteristics, treatments and survival outcomes of patients with LSCC were analysed. Baseline comorbidity data was collected and age-adjusted Charlson Comorbidity Index (aCCI) was calculated. Outcomes of overall survival (OS), progression-free survival (PFS) and laryngectomy-free survival (LFS) were evaluated.
RESULTS: Two hundred and fifteen patients were included, 170 (79%) underwent primary radiation/ chemoradiation and the remainder upfront surgery with adjuvant therapy where indicated. The majority of patients were male, Chinese and current/ex-smokers. Presence of comorbidity was common with median aCCI of 3. Median OS was 5.8 years. On multivariable analyses, high aCCI and advanced nodal status were associated with inferior OS (HR 1.24 per one point increase in aCCI, P<0.001 and HR 3.52; p<0.001 respectively), inferior PFS (HR 1.14; p = 0.007 and HR 3.23; p<0.001 respectively) and poorer LFS (HR 1.19; p = 0.001 and HR 2.95; p<0.001 respectively). Higher tumor (T) stage was associated with inferior OS and LFS (HR 1.61; p = 0.02 and HR 1.91; p = 0.01 respectively).
CONCLUSION: In our Asian population, the presence of comorbidities and high nodal status were associated with inferior OS, PFS and LFS whilst high T stage was associated with inferior LFS and OS.

Entities:  

Year:  2019        PMID: 31747406      PMCID: PMC6867599          DOI: 10.1371/journal.pone.0224665

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

More than half a million patients worldwide are diagnosed with head and neck squamous cell carcinoma (HNSCC) every year, of which one quarter occur in the larynx [1]. In USA alone, approximately 3660 patients died from laryngeal cancer in 2017 [2]. Known risk factors for laryngeal cancer are tobacco and alcohol consumption with linear association of both with the development of laryngeal cancer [3]. However, despite reduction in smoking rates leading to a reduction in incidence of laryngeal cancer, the 5-year survival rate has not changed significantly over past 40 years and still remains at about 60% [2,4]. Management of laryngeal squamous cell carcinoma (LSCC) is particularly challenging, due to the substantial functional morbidity and psychosocial effects associated with laryngectomy, and thus, the need to balance between optimal tumor control whilst preserving organ function as far as possible. The mainstay of treatment for early stage LSCC is radiation therapy or laryngeal preservation surgery, both of which give good rates of local control [5]. Up till the early 1990s, total laryngectomy had been the mainstay of therapy for locally advanced laryngeal cancer. However, the landmark Department of Veterans Affairs (VA) laryngeal study changed the treatment paradigm by evaluating the role of sequential induction chemotherapy followed by radiotherapy in comparison to standard upfront laryngectomy followed by post-operative radiotherapy in the stage III/IV LSCC. There was no significant difference in survival outcome and a laryngeal preservation rate of 64% in the non-surgical arm [6]. A second landmark study by the Radiation Therapy Oncology Group (RTOG) compared an alternate strategy of concurrent cisplatin chemotherapy with radiotherapy to induction chemotherapy followed by radiotherapy, or radiotherapy alone, in operable stage III/ IV LSCC. Both induction chemotherapy and concurrent chemoradiotherapy (CRT) significantly improved laryngectomy-free survival (LFS) compared with radiation (RT) alone [7,8]. A study performed in our center compared primary CRT with surgery followed by adjuvant RT in patients with stage III/IV HNSCC, of which about 30% of patients had LSCC [9,10]. Whilst the study closed prematurely due to poor accrual, analysis of patients recruited demonstrated no difference in disease-free survival between both treatment arms and with overall organ preservation rate of 45%. Thus, non-surgical approaches incorporating chemotherapy with radiotherapy have now been established as the standard of care for locally advanced laryngeal cancer as they enable preservation of the larynx whilst achieving meaningful long-term survival in a proportion of patients. However, not all patients are suitable for these organ-preserving approaches. About one third of patients treated with these organ-preservation approaches do ultimately still experience relapse locally and/or distant metastatic disease. In the VA study, salvage laryngectomies were required more often in patients with gross cartilage invasion, stage IV cancers and T4 tumors [6] and of note, patients with ‘large volume’ T4 tumors (defined as tumors penetrating through the cartilage or extending more than 1cm in to the base of the tongue) were excluded from the RTOG study [7]. Other studies have demonstrated that patients with T4 and stage IV disease who undergo upfront total laryngectomy have better outcomes compared with CRT [11-13]. Patients with significant pulmonary compromise, have poor laryngeal or swallowing function and thus who are at a high risk for aspiration are also poor candidates for conservative treatments and may be better treated with upfront surgery. Presence of significant comorbidities is common in HNSCC with about 30–50% of patients having at least 1 comorbidity [14-19]. Various indices such as the Charlson comorbidity index (CCI) and ACE-27 have been validated for use in the head and neck cancer population [20-23]. Studies have consistently reported that the presence of comorbidities is associated with poorer overall survival in HNSCC [15-19,24,25] and in particular in LSCC [14,26,27]. Many studies report an effect of comorbidity on OS only, and not cancer-specific survival [14,15,17,19], postulating that this is due to higher non-cancer related mortality, which could affect about between 10–30% of patients [28-31] despite control of their cancer. However, other studies report poorer cancer-specific survival in association with comorbidity [27,32], which was attributed to various factors including its detrimental effect on surgical outcomes, higher risk of severe complications during treatment [24,27,32,33], or due to comorbidity leading to a change in therapeutic decisions in up to about 20–30% of patients [34] and/or the use of substandard therapy [35]. Significantly, CCI and Eastern Cooperative Oncology Group (ECOG) performance status are not that well correlated as ECOG score does not account for degree and severity of comorbidity [15,24]. Thus, comorbidities have an impact on survival not only by influencing treatment decisions by physicians and patients, and patients’ tolerance of treatment in the shorter term, but also by contributing to risk of longer term competing non-cancer related mortalities and/or second primary tumors. Hence, there remains a need to better characterize risk factors such as comorbidity and their effect on treatment outcomes in LSCC. In this study, we aim to describe survival outcomes in patients with LSCC in our population, and to identify prognostic factors associated with outcomes.

Methodology

Patient populations and treatment

Patients diagnosed with LSCC between 1994 and 2013 inclusive and treated at the National Cancer Centre Singapore were identified and their clinical records were reviewed. Patients were staged according to the AJCC cancer staging manual, 7th edition. Patients who did not complete prescribed treatment at our centre, defaulted follow-up within 1 year, or who were palliatively managed were excluded from analyses. Decisions regarding treatments were made by individual physicians based on recommendations from a multidisciplinary tumour board. No patient underwent induction chemotherapy. Patients were followed up according to our institution’s standard practice. This study was approved by the Singhealth Centralised Institutional Review Board. Waiver of consent was obtained for this study as this was a retrospective analysis on anonymised data.

Comorbidity assessment

The age-adjusted Charlson comorbidity index (aCCI) was calculated for all patients. The Charlson comorbidity index (CCI) is a weighted measure that incorporates 19 different medical categories, each weighted according to its potential to impact on mortality [20]. The aCCI is calculated by adding 1 point to the CCI score for every decade over 40 [21]. Information on pre-existing comorbidities was derived from the secondary diagnoses coded according to the international classification of diseases, 10th revision, and from the patients’ charts. The index head and neck cancer was not coded as comorbidity.

Time to event measurements

Duration of overall survival (OS) was measured from the date of diagnosis to the date of death, or the date of last follow-up for surviving patients. Patients alive at time of analysis were censored at the date of last follow up. Death data was obtained from patients’ medical records as well as Singapore Death Registry. Duration of progression-free survival (PFS) was measured from the date of diagnosis to the date of progression or death (if no progression was reported before death) or the date of last follow-up. Patients alive with no progression were censored at date of last follow up. Duration of laryngectomy-free survival (LFS) was measured from the date of diagnosis to the date of salvage laryngectomy or death (if no laryngectomy was performed) or the date of last follow-up. Patients who were alive without a laryngectomy were censored at date of last follow up.

Statistical analysis

Baseline categorical variables were summarised as frequency and percentage, and continuous variables were summarised as median with inter-quartile range (IQR) and range. Comparisons of patient demographics and clinical characteristics by treatment (RT and CRT) were performed using Fisher’s exact test or chi-squared test for categorical variables (where appropriate) and Mann-Whitney U test for continuous variables. The chi-squared test for trend was used to test if there was a linear trend relating aCCI score to treatment decision (single/combination modality). Survival curves were estimated by Kaplan-Meier method and median survival time was reported with 95% confidence interval (95% CI). The log-rank test was used to determine if there was a difference in survival curves between different groups of patients. Univariable and multivariable analyses were performed using the Cox proportional hazards model. Patient demographics and baseline disease characteristics associated with survival in the univariable cox regression model with a significance level of P<0.1 were included for model selection. Variable selection was performed using a backward selection strategy using the likelihood ratio test with P<0.05 as the criteria for inclusion in the final multivariable model. Treatment effect of RT versus CRT (in terms of OS, PFS and LFS) were estimated using multivariable Cox regression model, adjusting for prognostic factors and baseline variables that were significantly different between the two treatments and also associated with the outcome. Proportional hazard assumption for using the Cox regression model was assessed using the Schoenfeld residuals test. A two-sided p-value less than 0.05 was considered statistically significant. All analyses were performed in STATA version 15.0.

Results

Patient cohort demographics

Two hundred and fifteen patients diagnosed with LSCC and treated with curative intent between 1994 and 2013 were included. The majority of patients were male (94.4%), Chinese (78.6%), and current or ex-smokers (80%), with a median age of 67 years (range 36–94). At diagnosis, the most common symptoms were a hoarse voice (93.5%), followed by pain (19.9%) and dysphagia (16.2%). Most patients had a good performance score of ECOG 0 (60.9%) or ECOG 1 (36.3%), with a median aCCI of 3 (range, 0–12). The characteristics of patients are shown in Table 1.
Table 1

Clinical characteristics of patients.

Frequency (%)
N = 215
Age at diagnosis, years
 Mean (SD)67 (10.8)
 Median (IQR)67 (59.5, 73.9)
 Range36 to 94
Age at diagnosis
 <65 years old95 (44.2)
 ≥65 years old120 (55.8)
Gender
 Male203 (94.4)
 Female12 (5.6)
Race
 Chinese169 (78.6)
 Malay18 (8.4)
 Indian18 (8.4)
 Others10 (4.7)
Smoking status
 Non-smoker39 (18.1)
 Smoker121 (56.3)
 Ex-smoker51 (23.7)
 Unknown4 (1.9)
Stage at diagnosis
 Stage 163 (29.3)
 Stage 243 (20.0)
 Stage 338 (17.7)
 Stage 4a68 (31.6)
 Stage 4b3 (1.4)
T-stage at diagnosis
 T168 (31.6)
 T259 (27.4)
 T336 (16.7)
 T452 (24.2)
N-stage at diagnosis
 N0155 (72.1)
 N123 (10.7)
 N235 (16.3)
 N32 (0.9)
ECOG
 0131 (60.9)
 178 (36.3)
 25 (2.3)
 31 (0.5)
aCCI score
 Median (IQR)3 (2, 4)
 Range0 to 12
aCCI score
 0–3143 (66.5)
 4–1272 (33.5)

SD: standard deviation

IQR: interquartile range

ECOG: Eastern Cooperative Oncology group performance status

aCCI: age-adjusted Charlson Comorbidity Index

SD: standard deviation IQR: interquartile range ECOG: Eastern Cooperative Oncology group performance status aCCI: age-adjusted Charlson Comorbidity Index

Treatment

One hundred and seventy patients (79%) underwent primary RT or CRT, while 45 (21%) patients were treated by surgery followed by adjuvant RT/CRT where indicated.

Chemotherapy

The majority of patients undergoing chemotherapy received cisplatin-based chemotherapy (n = 42/49; 85.7%), administered 3-weekly during radiotherapy for 3 cycles at 100mg/m2 unless contra-indicated due to inadequate renal function, in which case they received paclitaxel, or carboplatin, or cetuximab instead. The mean cumulative dose of cisplatin administered was 255mg/m2.

Radiotherapy

All patients were immobilised with a customised thermoplastic mask and treated with 6MV photon encompassing the primary bearing area and regional lymph nodes. Patients who received upfront radical RT were treated with 66–70 Gy delivered in 33–35 fractions, whereas patients who received adjuvant RT were treated with 60–66 Gy in 30–33 fractions. Patients with T1N0 and some patients with T2N0 received 55Gy in 20 fractions. The gross tumour volume (GTV) was defined as any visible gross disease based on radiological, endoscopic and clinical findings. High risk clinical target volume (CTV) is an expansion of 5–10 mm margin around the GTV, and with editing off natural tumour barriers. This volume was treated with 66–70 Gy. Intermediate risk CTV included the possible local subclinical infiltration of the primary site as well as first echelon nodal stations and was prescribed 60 Gy. Low risk CTV included regional nodal stations which are not first echelon nodes and were not adjacent to the levels of involved nodes and was prescribed 50 Gy. In the adjuvant setting, the tumour bed and involved nodal stations were treated to 60 Gy with a further 6 Gy boost to areas of extracapsular extension or close/positive margin. Most patients before 2005 were treated with 2-dimensional (2D) or 3-dimensional conformal technique whereas the latter patients were treated with intensity modulated radiotherapy (IMRT). In the IMRT technique, all dose levels were delivered within the same plan with the higher doses effected through a simultaneous integrated boost. In the 2D technique, the RT was delivered via 2 shaped lateral parallel opposed fields with a low anterior neck match in 2 or 3 phases using shrinking field technique. Compliance to radiotherapy was high overall, with almost all patients (197/201, 98%) completing RT.

Treatment modality according to stage and aCCI

The majority of patients who underwent upfront surgery had T4 disease (71.1%, 32 out of 45 patients), however there were no other demographic differences amongst the patients undergoing upfront surgery vs non-surgical treatment. Of 52 patients with T4 disease, 32 (61.5%) had upfront surgery whilst the remainder had RT or CRT (38.5%). Almost all of the patients with stage 1/2 disease received single modality treatment with primary RT alone (101/106; 95.3%), of the remainder, 4 patients (3.8%) received surgery alone and 1 received surgery followed by RT. Amongst 109 stage 3/4 patients, two-thirds (73 patients, 67%) received combined modality treatment: in particular, 43 (39.4%) received primary CRT, 24 (22.0%) underwent surgery followed by adjuvant RT whilst 6 patients (5.5%) had surgery followed by adjuvant CRT. The remaining one-third of patients (n = 36, 33%) received single modality treatment (surgery or RT): 26 (23.9%) received radiation alone: of these, 12 (46%) were elderly (>70 years old), 9 (35%) had multiple comorbidities; these patients were deemed unsuitable for CRT, whilst 4 (15%) declined chemotherapy and the remaining patient was treated in 1997, when CRT was not yet standard of care. 10 patients underwent surgery alone: 3 declined adjuvant RT, 3 had received previous RT to that region for a separate unrelated tumour (nasopharyngeal carcinoma), 2 patients defaulted RT, 1 patient had a synchronous carcinoma of the colon requiring treatment, and 1 had post-operative wound infection which precluded RT. Amongst stage 3/4 patients, the treatment modality (single vs combined) was associated with the aCCI score at diagnosis (p<0.001) and a test for trend showed evidence of a linear trend, with the proportion of patients receiving single modality treatment increasing as the aCCI score increased (p<0.001) (Table 2).
Table 2

Association of aCCI score with treatment in stage 3/4 patients.

aCCI score
Total012345–12p-value
Treatment<0.001 (<0.001#)
 Single modality (RT or surgery alone)36 (33.0)0 (0.0)3 (16.7)3 (11.5)7 (31.8)11 (47.8)12 (80.0)
 Combination modality (Surgery->Adj-RT included)73 (67.0)5 (100.0)15 (83.3)23 (88.5)15 (68.2)12 (52.2)3 (20.0)

P-value calculated using Fisher’s exact test

#P-value for test of trend calculated using chi-squared test for trend

P-value calculated using Fisher’s exact test #P-value for test of trend calculated using chi-squared test for trend

Survival Outcomes

Overall survival (OS)

With a median follow up of 4.1 years (Range: 0.14 to 14.84 years), one hundred out of 215 patients (46.5%) were alive, and the median OS time was 5.8 years (95% CI: 4.83 to 7.14 years). Kaplan-Meier curves for OS for all patients, by N-stage and by age-adjusted CCI are presented in Fig 1A, 1B and 1C respectively.
Fig 1

Kaplan-Meier survival curve of overall survival probability against time.

(A) in the entire cohort. (B) according to nodal stage. (C) according to age-adjusted Charlson comorbidity index (aCCI).

Kaplan-Meier survival curve of overall survival probability against time.

(A) in the entire cohort. (B) according to nodal stage. (C) according to age-adjusted Charlson comorbidity index (aCCI). In univariable analysis, age at diagnosis, clinical stage, T-stage, N-stage, ECOG and aCCI score were associated with OS. In multivariable analysis, aCCI score, gender, T-stage and N-stage remained significantly associated with OS (Table 3). Patients with N2/N3 disease were at higher risk of death (HR = 3.52, 95% CI: 2.23 to 5.55; p<0.001) than patients with N0/N1 disease. Increasing aCCI score was also significantly related to OS (HR 1.24 per 1-point increase; 95% CI 1.12–1.38; p<0.001).
Table 3

Univariable and multivariable overall survival results for patient characteristics.

No. of events / patientsUnivariableMultivariable
OS Hazard ratio(95% CI)p-valueAdjusted Hazardratio (95% CI)p-value
116/215
Age at diagnosis, per 10 years116 / 2151.40 (1.16 to 1.69)<0.001
Gender
 Male112 / 2031
 Female4 / 120.41 (0.15 to 1.11)0.080.25 (0.09 to 0.70)0.008
Smoking status
 Non-smoker17 / 391
 Smoker67 / 1211.07 (0.63 to 1.83)0.8
 Ex-smoker30 / 511.35 (0.74 to 2.44)0.3
 Unknown2 / 42.20 (0.51 to 9.57)0.3
Stage
 Stage 128 / 631
 Stage 225 / 431.47 (0.85 to 2.53)0.2
 Stage 317 / 381.20 (0.66 to 2.20)0.5
 Stage 4a/4b46 / 712.22 (1.38 to 3.56)0.001
T-stage
 T1-T382/1631
 T434 / 521.74 (1.16 to 2.60)0.0071.61 (1.07 to 2.43)0.02
N-stage
 N0/N188/1781
 N2/N328/373.03 (1.96 to 4.67)#<0.0013.52 (2.23 to 5.55)<0.001
ECOG
 055 / 1311
 1–361 / 841.57 (1.08 to 2.28)0.02
aCCI score per 1 score increase116 / 2151.19 (1.08 to 1.31)<0.0011.24 (1.12 to 1.38)<0.001
aCCI score
 0–366 / 1431
 4–1250 / 721.86 (1.29 to 2.69)0.001

P-value calculated using Wald test (from Cox model)

# Proportional hazard assumption violated

OS: overall survival

CI: Confidence interval

ECOG: Eastern Cooperative Oncology Group

aCCI: age-adjusted Charlson Comorbidity Index

P-value calculated using Wald test (from Cox model) # Proportional hazard assumption violated OS: overall survival CI: Confidence interval ECOG: Eastern Cooperative Oncology Group aCCI: age-adjusted Charlson Comorbidity Index

Progression-free survival (PFS)

With a median follow up of 4.10 years, 138 patients (64%) experienced disease progression or died. The median PFS was 3.2 years (95% CI: 2.44 to 4.52 years). PFS curves for all patients, by N-stage and by age-adjusted CCI are presented in Fig 2A, 2B and 2C respectively.
Fig 2

Kaplan-Meier survival curve of progression free survival probability against time.

(A) in the entire cohort. (B) according to nodal stage. (C) according to age-adjusted Charlson comorbidity index (aCCI).

Kaplan-Meier survival curve of progression free survival probability against time.

(A) in the entire cohort. (B) according to nodal stage. (C) according to age-adjusted Charlson comorbidity index (aCCI). In univariable analysis, clinical stage, N-stage and aCCI score were associated with PFS. However, in the multivariable analysis, only aCCI score and N-stage remained significantly associated with PFS (Table 4). Patients with N2/N3 disease or high aCCI score were at higher risk of experiencing progressive disease or death (HR = 3.23, 95% CI: 2.13 to 4.90; p<0.001 and HR 1.14; 95% CI: 1.04–1.25; p = 0.007 respectively).
Table 4

Univariable and multivariable progression-free survival results for patient characteristics.

No. of events / patientsunivariablemultivariable
PFS Hazard ratio(95% CI)p-valueAdjusted HR(95% CI)p-value
138/215
Age at diagnosis, per 10 years138 / 2151.15 (0.97 to 1.35)#0.1
Gender
 Male132 / 2031
 Female6 / 120.57 (0.25 to 1.30)0.2
Smoking status
 Non-smoker20 / 391
 Smoker80 / 1211.18 (0.72 to 1.92)0.5
 Ex-smoker35 / 511.46 (0.84 to 2.53)0.2
 Unknown3 / 43.49 (1.03 to 11.79)0.04
Stage
 Stage 134 / 631
 Stage 231 / 431.60 (0.98 to 2.62)0.06
 Stage 322 / 381.36 (0.79 to 2.33)0.3
 Stage 4a/4b51 / 711.94 (1.25 to 3.01)0.003
T-stage
 T1-3102/1631
 T436/521.26 (0.86–1.84)0.2
N-stage
 N0/N117/1781
 N2/N331/373.15 (2.07 to 4.77)<0.0013.23 (2.13 to 4.90)<0.001
ECOG
 072 / 1311
 1–366 / 841.30 (0.93 to 1.83)0.1
aCCI score per 1 score increase138 / 2151.12 (1.03 to 1.23)0.011.14 (1.04 to 1.25)0.007
aCCI score
 0–383 / 1431
 4–1255 / 721.54 (1.09 to 2.17)0.01

P-value calculated using Wald test (from Cox model)

# Proportional hazard assumption violated

OS: overall survival

CI: Confidence interval

ECOG: Eastern Cooperative Oncology Group

aCCI: age-adjusted Charlson Comorbidity Index

P-value calculated using Wald test (from Cox model) # Proportional hazard assumption violated OS: overall survival CI: Confidence interval ECOG: Eastern Cooperative Oncology Group aCCI: age-adjusted Charlson Comorbidity Index

Organ preservation for laryngeal cancer

Patient characteristics

One hundred and seventy out of 215 patients (79.0%) underwent first-line RT or CRT. Compared with patients treated with RT alone, patients treated with CRT were on average younger (age <65 years, 67.4% vs 37% respectively, p<0.001), had lower aCCI score (aCCI ≤3, 86% vs 59.1%, p = 0.001) and had higher disease stage (stage 3/4, 100% vs 20.5%); T3/4, 69.8% vs 15.7% and N2/3, 41.8% vs 3.9%, p<0.001).

Laryngectomy-free survival (LFS)

One hundred and nine out of 170 patients (64%) had salvage laryngectomy or had died at the time of analysis. The median LFS was 3.7 years (95% CI: 2.63 to 5.17 years). Kaplan-meier curves for LFS for all patients undergoing RT/ CRT by N-stage and by age-adjusted CCI are presented in Fig 3A, 3B and 3C respectively.
Fig 3

Kaplan-Meier survival curve of laryngectomy free survival probability against time.

(A) in the cohort undergoing RT/CRT. (B) in the cohort undergoing RT/CRT, according to nodal stage. (C) in the cohort undergoing RT/CRT, according to age-adjusted Charlson comorbidity index (aCCI).

Kaplan-Meier survival curve of laryngectomy free survival probability against time.

(A) in the cohort undergoing RT/CRT. (B) in the cohort undergoing RT/CRT, according to nodal stage. (C) in the cohort undergoing RT/CRT, according to age-adjusted Charlson comorbidity index (aCCI). In univariable analysis, overall stage, T-stage, N-stage, and aCCI score were associated with LFS. In the multivariable analysis, aCCI score, T-stage and N-stage remained significantly associated with LFS (Table 5). Patients with T4 disease or N2/N3 were at higher risk of losing their laryngeal function due to a laryngectomy or death (HR 1.91, 95% CI 1.14–3.18; p = 0.01 and HR = 2.95, 95% CI: 1.75 to 4.98; p<0.001 respectively) than patients with T1-3 and/or N0/N1 disease.
Table 5

Univariable and multivariable results for laryngectomy-free survival for patient characteristics.

No. of events / patientsUnivariablep-valueMultivariablep-value
LFS Hazard ratio(95% CI)LFS Hazard ratio(95% CI)
109/170
Age at diagnosis, per 10 years109 / 1701.18 (0.98 to 1.41)#0.08
Gender
 Male103 / 1601
 Female6 / 100.74 (0.33 to 1.70)0.5
Smoking status
 Non-smoker17 / 331
 Smoker62 / 951.17 (0.68 to 2.00)0.6
 Ex-smoker27 / 391.48 (0.81 to 2.72)0.2
 Unknown3 / 352.65 (11.99 to 231.25)<0.001
Stage
 Stage 131 / 601
 Stage 229 / 411.64 (0.98 to 2.73)0.06
 Stage 319 / 331.50 (0.85 to 2.68)0.2
 Stage 4a/4b30 / 362.69 (1.62 to 4.47)<0.001
T-stage
 T1-391/1501
 T418/201.95 (1.17 to 3.24)0.011.91 (1.14 to 3.18)0.01
N-stage
N0-190/1471
N2-N319/232.75 (1.65 to 4.59)<0.0012.95 (1.75 to 4.98)<0.001
ECOG
 058 / 1051
 1–351 / 651.34 (0.91 to 1.97)0.1
aCCI score per 1 score increase109 / 1701.15 (1.05 to 1.26)0.0041.19 (1.07 to 1.31)0.001
aCCI score
 0–364 / 1121
 4–1245 / 581.66 (1.13 to 2.44)0.01

p-value calculated using Wald test (from Cox model)

# Proportional hazard assumption violated

LFS: Laryngectomy-free survival

CI: Confidence interval

ECOG: Eastern Cooperative Oncology group performance status

aCCI: age-adjusted Charlson Comorbidity Index

p-value calculated using Wald test (from Cox model) # Proportional hazard assumption violated LFS: Laryngectomy-free survival CI: Confidence interval ECOG: Eastern Cooperative Oncology group performance status aCCI: age-adjusted Charlson Comorbidity Index

Patterns of relapse after primary RT/CRT

Seventy-three patients relapsed after primary RT/CRT, the majority (66 patients, 90.4%) had local relapse in the larynx and/or lymph nodes, of which 50 patients (71%) underwent curative treatments. 16 patients with local relapse did not undergo curative therapy either due to unsuitability or patient’s choice. Seven patients relapsed with distant metastases (4 with distant metastases and 3 with both local and distant relapse).

Treatment effect of CRT and RT

After accounting for significant prognostic factors, there was a significant treatment effect favoring CRT over RT in terms of OS, PFS and LFS (RT vs CRT, OS HR 1.96 (95% CI: 1.03–3.75; p = 0.04); PFS HR 2.33 (95% CI: 1.28 to 4.23; p = 0.005); LFS HR 2.14 (95% CI: 1.17 to 3.93; p = 0.01).

Discussion

Our study demonstrates that nodal status and comorbidity status are significant factors determining PFS, OS and LFS in laryngeal cancer in our patient population. In addition, tumor stage was related to OS as well as LFS. Several previous studies have reported that nodal status is a significant prognostic factor in laryngeal cancer, with higher nodal status being associated to poorer OS [11,14,36-38] although there are limited reports of the association of nodal status and LFS. In our study, the majority of our patients were treated with non-surgical approaches, hence it is not known whether other approaches eg, upfront surgery followed by adjuvant CRT or induction chemotherapy followed by CRT will lead to better outcomes for patients with N2/N3 disease, or whether other methods of intensifying therapy will improve outcomes. However, other studies have reported that patients with high nodal status perform poorly regardless of treatment modality [6,11,37,39] and thus, these patients represent a significant challenge in terms of treatment. Our study findings of lower LFS and OS amongst patients with higher T stage are consistent with other previous reports [11,13,39] and reflect the reality that not all patients with local relapse after organ-preservation approaches such as RT/ CRT will be suitable for salvage procedures; some may have disease that is no longer resectable, or may be deemed unfit/ or decline surgery at that point. A stronger emphasis on upfront surgery in these patients with T4 disease may help improve overall survival. We were not able to compare the use of primary surgery vs primary RT/CRT in patients with T4 tumors within our study due to small patient numbers. Presence of comorbidities was common in our population, this finding is similar to other studies [14-19]. In addition, aCCI was a significant prognostic factor for PFS, OS and LFS in our study. The association of inferior OS with presence of comorbidities is consistent with other studies in HNSCC [14-17,19,24-26], although there are limited data in laryngeal cancer patients regarding the impact of comorbidity on PFS and LFS. A limitation of our study is that we were not able to obtain data regarding the cause of death in the majority of patients and thus could not determine the effect of comorbidities on non-cancer and cancer-specific survival. While RT is the mainstay of organ preserving treatment for LSCC, CRT improves laryngeal preservation rates and is the standard of care for locally advanced resectable laryngeal cancer; whilst patients with T4 disease would benefit more from an upfront surgical approach followed by adjuvant RT, with concurrent chemotherapy added in the presence of high risk features [40-42]. In our study however, one-third of stage 3/4 patients received single modality treatment due to various reasons as outlined in our results; furthermore, we have also demonstrated a linear trend of single modality treatment with increasing aCCI. Finally, our results also demonstrated that treatment of patients with RT instead of CRT was indeed associated with poorer OS, PFS and LFS. It is thus possible that the association of aCCI with inferior OS, PFS and LFS could be contributed by sub-optimal treatment in stage 3/4 patients with higher aCCI compared with patients who had lower aCCI, this has also been described in other studies [35,43]. Whilst we acknowledge this may have influenced our study findings, we were not able to directly analyze the effect of comorbidity on treatment decisions. In addition, the accuracy of comorbidity assessment depended on quality of disease coding in patient’s charts and could be underestimated by missing data. Furthermore, the act of assigning patients a CCI score has the potential for error in and of itself. Although the CCI scoring system has specific rules and guidelines, there is some level of subjectivity involved in assigning CCI scores to individual patients based on a retrospective review of a patient’s chart, including errors and inconsistencies in medical record keeping. This could be improved in future by standardized patient-reported comorbidity questionnaires filled out at diagnosis which have shown good correlation with standard CCI [44]. The retrospective nature of our study also means that the cohort was heterogeneous and this may further impact on treatment outcomes and study conclusions. Management of laryngeal cancer has evolved over the past 20 years due in part to several landmark studies of chemotherapy in combination with RT [6-8,40,41]. In particular, concurrent chemoradiotherapy for locally advanced resectable laryngeal cancer only became the standard of care for organ preservation in 2003, prior to this, RT alone or sequential chemotherapy followed by RT may have been used (6). Recommendation of post-operative adjuvant concurrent CRT instead of adjuvant RT for high risk (eg, positive margins and/or extra-capsular spread) patients was established in 2004 based on the EORTC 22931 and RTOG 9501 study showing that addition of concurrent chemotherapy to adjuvant RT improved loco-regional control, progression-free survival as well as overall survival [40-42]. As our study cohort included patients treated over a 20-year period, their treatments may have been influenced by these changes in standard clinical practice, which may in turn have affected patient outcomes such as PFS, OS and LFS [6](6). Due to small patient numbers, we were not able to analyse patients’ outcomes according to time period that they received treatment. Radiotherapy techniques have also evolved over time, with the introduction of IMRT in 2005 replacing 2D/3D conformal techniques, though this may not have directly affected treatment outcomes. In summary, our study demonstrates that in our local Asian population, nodal status, T-stage, aCCI are important factors which determine treatment outcome in non-metastatic LSCC. Presence of comorbidities is common and, given its significant impact on treatment modality and survival outcomes, it is thus important to take comorbidity data into account in multi-disciplinary treatment decisions and consider routine use of a validated comorbidity scoring system in the context of stratifying patients for clinical trials. Comorbidity data may also need to be considered in the design of surveillance programs for patients after completion of their therapy. Many studies have demonstrated that a significant number of long term HNSCC survivors die from cancers other than HNSCC, and from non-cancer causes [30]. Thus whilst reducing cancer-related death remains a key priority for patients with LSCC, non-cancer related death is also a significant hazard particularly in patients with high CCI [28-30] and routine follow-up care for HNSCC survivors should be reviewed to expand beyond surveillance for recurrent/ new HN cancers to also address this populations’ specific risks, which may further optimize their OS. As our data shows, a substantial proportion of patients with higher aCCI may be deemed unsuitable for combination therapy and/or intensive therapy, and hence, the development of better strategies to pro-actively manage the toxicities these patients may encounter, and/or the use of less intensive combined modality regimens may be helpful in improving outcomes. Patients with high nodal stage on the other hand may benefit from more intensive approaches in view of high risk of relapse and death regardless of their t-stage. By designing clinical trials targeting, or stratifying for these poor-risk subsets of patients, we may be better able to improve outcomes in LSCC. Conversely, it will also be important to identify patients with low-risk disease or good prognosis, who may benefit from de-intensified and/or organ preservation approaches, such as radiation alone, or with limited or partial laryngectomies in order to maintain optimal laryngeal function. 19 Aug 2019 PONE-D-19-20376 Association of clinical factors with survival outcomes in laryngeal squamous cell carcinoma PLOS ONE Dear Dr. Mei-Kim Ang, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== ACADEMIC EDITOR: Please kindly respond to the reviewers' comments, especially the various treatment strategies. I also suggest having some discussion about the changes in cancer care within the 20 years. ============================== We would appreciate receiving your revised manuscript by Oct 03 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). This letter should be uploaded as separate file and labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. This file should be uploaded as separate file and labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. This file should be uploaded as separate file and labeled 'Manuscript'. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out. We look forward to receiving your revised manuscript. Kind regards, Jason Chia-Hsun Hsieh, M.D. Ph.D Academic Editor PLOS ONE Journal Requirements: 1. When submitting your revision, we need you to address these additional requirements. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and http://www.journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. Please amend either the title on the online submission form (via Edit Submission) or the title in the manuscript so that they are identical. Additional Editor Comments: Please kindly respond to the reviewers' comments, especially the various treatment strategies. I also suggest having some discussion about the changes in cancer care within the 20 years. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This single center retrospective study started from an excellent review of the treatment for laryngeal cancer. It highlighted the unmet needs for the treatment of laryngeal cancer. The retrospective analysis also incorporates several clinical factors into the analysis of laryngeal cancer therapy and prognosis. The study is unique because of: 1) a retrospective study focusing in Asian cohort in a world-class cancer center; 2) large sample size; 3) long-term follow-up. Several clinical factors may be considered to clarify in detail. First, what is the RT dose and technique in the cohort? What is the accumulated cisplatin dose and cisplatin schedule with RT? What is the compliance of RT in the cohort? These treatment-related factors may also have a higher impact on survival. The author may consider to incorporate it into the analysis. Some studies showed that body weight or BMI may also be a prognostic factor for cancer therapy. Is it possible for the study to retrieve the data from medical record? The study is worth for publication after updating these clinical data in the final results. Reviewer #2: Retrospective and descriptive study Easy to read paper Too many tables Treatment should be described according to the TNM, Stage and aCCI as there is 60% T1/T2 and 70% N0. Already known data Reviewer #3: In this study, Fong et al. retrospectively enrolled 215 LSCC patients who either underwent primary radiation/ chemoradiation or upfront surgery with adjuvant therapy. Comorbidities and nodal status were identified as prognostic markers. Several comments are listed as follows: 1. The major concern of this study is less novelty, since comorbidities and nodal status have both been correlated with treatment outcome in many cancers including HNSCC. 2. The treatment strategy is heterogenous and therefore make each sub-group with small number. Authors could conduct an analysis with a more specific population, e.g., locally advanced LSCC after primary chemoradiation with IMRT and triweekly cisplatin. 3. The enrollment duration is across almost 20 years, while there may be some prognosis shift either due to treatment or even general care improvement. 4. More than 2/3 of patients only accepted RT alone. As the authors discussed, they also need to explain why these patients have more comorbidities, poor performance status, or advanced age. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Hsiang-Fong Kao [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 11 Oct 2019 Please refer to our "Response to reviewers" file if possible ---------------------------------------------------------------------- Jason Chia-Hsun Hsieh, M.D. Ph.D Academic Editor PLOS ONE Dear Dr. Hsieh, Response to reviewers’ comments [PONE-D-19-20376] - [EMID:652fb23106c7bb55] Thank you for reviewing our manuscript and for the helpful comments provided. Please find enclosed our response to the comments raised. The page and line numbers provided here are based on our revised manuscript with tracked changes. 1. ACADEMIC EDITOR: Please kindly respond to the reviewers' comments, especially the various treatment strategies. I also suggest having some discussion about the changes in cancer care within the last 20 years. We have included a paragraph in the Discussion section (page 28) summarising the changes in management of laryngeal cancer in the past 20 years. (page 28, line 497) “Management of laryngeal cancer has evolved over the past 20 years due in part to several landmark studies of chemotherapy in combination with RT (6–8,40,41). In particular, concurrent chemoradiotherapy for locally advanced resectable laryngeal cancer only became the standard of care in 2003, prior to this, RT alone or sequential chemotherapy followed by RT may have been used. Recommendation of post-operative adjuvant concurrent CRT instead of adjuvant RT for high risk (eg, positive margins and/or extra-capsular spread) patients was established in 2004 based on the EORTC 22931 and RTOG 9501 study showing that addition of concurrent chemotherapy to adjuvant RT improved loco-regional control, progression-free survival as well as overall survival (40–42). As our study cohort included patients treated over a 20-year period, their treatments may have been influenced by these changes in standard clinical practice, which may in turn have affected patient outcomes such as PFS, OS and LFS (6). Due to small patient numbers, we were not able to analyse patients’ outcomes according to time period that they received treatment. Radiotherapy techniques have also evolved over time, with the introduction of IMRT in 2005 replacing 2D/3D conformal techniques, though this may not have directly affected treatment outcomes.” 2. Reviewer #1: Several clinical factors may be considered to clarify in detail. (i) First, what is the RT dose and technique in the cohort? Under the Results section and treatment sub-section (page 12), we have now inserted three paragraphs summarising the RT dose and technique for our study cohort: (page 12, line 226) “All patients were immobilised with a customised thermoplastic mask and treated with 6MV photon encompassing the primary bearing area and regional lymph nodes. Patients who received upfront radical RT were treated with 66-70 Gy delivered in 33-35 fractions, whereas patients who received adjuvant RT were treated with 60-66 Gy in 30-33 fractions. Patients with T1N0 and some patients with T2N0 received 55Gy in 20 fractions. The gross tumour volume (GTV) was defined as any visible gross disease based on radiological, endoscopic and clinical findings. High risk clinical target volume (CTV) is an expansion of 5-10 mm margin around the GTV, and with editing off natural tumour barriers. This volume was treated with 66-70 Gy. Intermediate risk CTV included the possible local subclinical infiltration of the primary site as well as first echelon nodal stations and was prescribed 60 Gy. Low risk CTV included regional nodal stations which are not first echelon nodes and were not adjacent to the levels of involved nodes and was prescribed 50 Gy. In the adjuvant setting, the tumour bed and involved nodal stations were treated to 60 Gy with a further 6 Gy boost to areas of extracapsular extension or close/positive margin. Most patients before 2005 were treated with 2-dimensional (2D) or 3-dimensional conformal technique whereas the latter patients were treated with intensity modulated radiotherapy (IMRT). In the IMRT technique, all dose levels were delivered within the same plan with the higher doses effected through a simultaneous integrated boost. In the 2D technique, the RT was delivered via 2 shaped lateral parallel opposed fields with a low anterior neck match in 2 or 3 phases using shrinking field technique.” (ii) What is the accumulated cisplatin dose and cisplatin schedule with RT? Under the Results section and treatment sub-section (page 11), we have edited the text to include the cisplatin schedule and cumulative dose in our population. (page 11, line 221) “The majority of patients undergoing chemotherapy received mostly cisplatin-based chemotherapy (n=42/49; 85.7%), administered 3-weekly during radiotherapy for 3 cycles at 100mg/m2 unless contra-indicated due to inadequate renal function, in which case they received paclitaxel, or carboplatin, or cetuximab instead. The mean cumulative dose of cisplatin administered was 255mg/m2.” (iii) What is the compliance of RT in the cohort? These treatment-related factors may also have a higher impact on survival. The author may consider to incorporate it into the analysis. Compliance to radiotherapy was high with 98% completing RT. We have inserted a sentence regarding this in the Results section (treatment sub-section) on page 13. (page 13, line 251) “Compliance to radiotherapy was high overall, with almost all patients (197/201, 98%) completing RT.” (iv) Some studies showed that body weight or BMI may also be a prognostic factor for cancer therapy. Is it possible for the study to retrieve the data from medical record? Unfortunately, we do not have the data regarding the patients’ body weight and BMI and hence, we were not able to evaluate the relationship of body weight/ BMI and treatment outcomes. However, we would bear this factor in mind and collect this information prospectively for future studies. 3. Reviewer #2: (i) Too many tables. (a) We have condensed/ combined some of the fields in the Results section, Table 1 (page 10, line 212): - N2 a,b,c, categories are combined under “N2” - aCCI score grouped into (0-3) and (4-12) (b) We have condensed the univariable and multivariable results for OS, PFS and LFS into 1 table for each outcome • Page 15, line 302: previous table 2A, 2B is now table 3 • Page 18, line 333: previous table 3A and 3B is now table 4 • Page 22, line 386: previous table 5A and 5B is now table 5. (c) In the Results section, Organ preservation for laryngeal cancer sub-section (page 20), we have removed table 4 (patient demographics and clinical characteristics of organ preservation/ non-surgical cohort) and instead have highlighted the relevant findings in the paragraph before it. (page 20, line 351) “One hundred and seventy out of 215 patients (79.0%) underwent first-line RT or CRT. Compared with patients treated with RT alone, patients treated with CRT were on average younger (age <65 years, 67.4% vs 37% respectively, p<0.001), had lower aCCI score (aCCI ≤3, 86% vs 59.1%, p=0.001 ) and had higher disease stage (stage 3/4, 100% vs 20.5%); T3/4, 69.8% vs 15.7% and N2/3, 41.8% vs 3.9%, p<0.001).” (d) In the Results section, Treatment effect of CRT and RT (page 24) we have removed table 6 and incorporated the significant findings in the preceding paragraph. (page 24, line 406) “After accounting for significant prognostic factors, there was a significant treatment effect favoring CRT over RT in terms of OS, PFS and LFS (RT vs CRT, OS HR 1.96 (95% CI: 1.03-3.75; p=0.04); PFS HR 2.33 (95% CI: 1.28 to 4.23; p=0.005); LFS HR 2.14 (95% CI: 1.17 to 3.93; p=0.01).” (e) However, due to need to describe the treatment modalities better according to the stage and aCCI, an additional table was included in the Results section, treatment sub-section on page 13 (Table 2: Association of aCCI score with treatment in stage 3/4 patients). (ii) Treatment should be described according to the TNM, Stage and aCCI as there is 60% T1/T2 and 70% N0. Already known data a) We have inserted an additional paragraph under the Results section, treatment sub-section, (page 13-14) describing the breakdown of treatment according to stage of disease. We have also sought to explain why a proportion of stage 3/4 patients were treated with single modality treatment. (page 13, line 260) “Almost all of the patients with stage 1/2 disease received single modality treatment with primary RT alone (101/106; 95.3%), of the remainder, 4 patients (3.8%) received surgery alone and 1 received surgery followed by RT. Amongst 109 stage 3/4 patients, two-thirds (73 patients, 67%) received combined modality treatment: in particular, 43 (39.4%) received primary CRT, 24 (22.0%) underwent surgery followed by adjuvant RT whilst 6 patients (5.5%) had surgery followed by adjuvant CRT. The remaining one-third of patients (n=36, 33%) received single modality treatment (surgery or RT): 26 (23.9%) received radiation alone: of these, 12 (46%) were elderly (>70 years old), 9 (35%) had multiple comorbidities; these patients were deemed unsuitable for CRT, whilst 4 (15%) declined chemotherapy and the remaining patient was treated in 1997, when CRT was not yet standard of care. 10 patients underwent surgery alone: 3 declined adjuvant RT, 3 had received previous RT to that region for a separate unrelated tumour (nasopharyngeal carcinoma), 2 patients defaulted RT, 1 patient had a synchronous carcinoma of the colon requiring treatment, and 1 had post-operative wound infection which precluded RT.” b) In addition, under the same section, page 14, we have inserted a paragraph describing the association of aCCI score with treatment in stage 3/4 patients and inserted a new table (table 2) reporting the results of this analysis. (page 14, line 275)“Amongst stage 3/4 patients, the treatment modality (single vs combination) was associated with the aCCI score at diagnosis (p<0.001) and a test for trend showed evidence of a linear trend, with the proportion of patients receiving single modality treatment increasing as the aCCI score increased (p<0.001) (Table 2).” We have also inserted an additional sentence in the Methodology section, “Statistical analysis” sub-section (page 9) detailing the methods used for the above analysis: (page 9, line 184) “The chi-squared test for trend was used to test if there was a linear trend relating aCCI score to treatment decision (single/combination modality).” c) Whilst some of the data presented is already known, however, there are limited studies in Asian populations and also limited data regarding the association of aCCI and outcomes such as PFS and LFS in laryngeal cancer. Furthermore, the association of aCCI and treatment modality presented here has not been widely reported, and to some extent represents ‘real-world’ experience and points towards an area where more efforts could be directed. 4. Reviewer #3: (i) The major concern of this study is less novelty, since comorbidities and nodal status have both been correlated with treatment outcome in many cancers including HNSCC. As mentioned above (3 (ii)(c)), whilst some of the data presented is already known, however there are limited studies of comorbidity in Asian populations particularly in head and neck cancer, and also limited data regarding its association with outcomes such as progression-free survival and laryngectomy-free survival. Furthermore, the association of co-morbidity and treatment modality received has not been widely reported, and to some extent represents ‘real-world’ experience and points towards an area where more efforts could be directed. (ii) The treatment strategy is heterogenous and therefore make each sub-group with small number. Authors could conduct an analysis with a more specific population, e.g., locally advanced LSCC after primary chemoradiation with IMRT and triweekly cisplatin. We agree with the reviewer that the study treatment is heterogenous and leads to many small treatment sub-groups which limits the study findings and interpretation. Unfortunately, within this particular study cohort, further analysis of treatment sub-groups such as locally advanced LSCC with primary CRT will not be feasible due to small patient numbers. However, based on our study findings so far, we are hoping to proceed with further evaluation in a larger and homogenous cohort of patients (iii) The enrolment duration is across almost 20 years, while there may be some prognosis shift either due to treatment or even general care improvement. We agree with the reviewer’s comments. As mentioned in (1), we have included a paragraph in the Discussion section (page 28, line 497) summarising the changes in management of laryngeal cancer in the past 20 years. Ideally, we would like to analyse the study findings according to time periods, however this is not possible due to small patient numbers when patients are divided into the different time periods. (iv) More than 2/3 of patients only accepted RT alone. As the authors discussed, they also need to explain why these patients have more comorbidities, poor performance status, or advanced age. We have inserted an additional paragraph under the Results section (treatment sub-section, page 13) describing the breakdown of treatment according to stage of disease. The majority of patients who received RT alone had stage 1/2 disease (101/127, 79.5%). For the remaining patients with stage 3/4 disease (26/127, 20.5%) we have explained the reasons they were treated with RT alone (page 13). (page 13, line 266) “26 (23.9%) received radiation alone: of these, 12 (46%) were elderly (>70 years old), 9 (35%) had multiple comorbidities; these patients were deemed unsuitable for CRT, whilst 4 (15%) declined chemotherapy and the remaining patient was treated in 1997, when CRT was not yet standard of care.” We hope that we have addressed all the issues raised, and would be happy to clarify further on any other issues. Thank you for kind review and for consideration of our manuscript for publication in your journal. Submitted filename: Response to reviewers.pdf Click here for additional data file. 21 Oct 2019 Association of clinical factors with survival outcomes in laryngeal squamous cell carcinoma (LSCC) PONE-D-19-20376R1 Dear Dr. Ang, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Jason Chia-Hsun Hsieh, M.D. Ph.D Academic Editor PLOS ONE Additional Editor Comments (optional): All the questions have been answered adequately. Reviewers' comments: 7 Nov 2019 PONE-D-19-20376R1 Association of clinical factors with survival outcomes in laryngeal squamous cell carcinoma (LSCC) Dear Dr. Ang: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Jason Chia-Hsun Hsieh Academic Editor PLOS ONE
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1.  Comorbid predictors of poor response to chemoradiotherapy for laryngeal squamous cell carcinoma.

Authors:  Melissa Hu; Fred Ampil; Cheryl Clark; Kunal Sonavane; Gloria Caldito; Cherie-Ann O Nathan
Journal:  Laryngoscope       Date:  2012-01-17       Impact factor: 3.325

2.  Impact of comorbidity on outcome of young patients with head and neck squamous cell carcinoma.

Authors:  B Singh; M Bhaya; M Zimbler; J Stern; J T Roland; R M Rosenfeld; G Har-El; F E Lucente
Journal:  Head Neck       Date:  1998-01       Impact factor: 3.147

3.  Randomized trial comparing surgery and adjuvant radiotherapy versus concurrent chemoradiotherapy in patients with advanced, nonmetastatic squamous cell carcinoma of the head and neck: 10-year update and subset analysis.

Authors:  N Gopalakrishna Iyer; Daniel S W Tan; Veronique K M Tan; Weining Wang; Jacqueline Hwang; Ngian-Chye Tan; Ranjiv Sivanandan; Hiang-Khoon Tan; Wan Teck Lim; Mei-Kim Ang; Joseph Wee; Khee-Chee Soo; Eng Huat Tan
Journal:  Cancer       Date:  2015-01-29       Impact factor: 6.860

4.  Effect of comorbidity on short-term outcomes and cost of care after head and neck cancer surgery in the elderly.

Authors:  Dane J Genther; Christine G Gourin
Journal:  Head Neck       Date:  2014-05-02       Impact factor: 3.147

5.  Factors that influence treatment decision in older patients with resectable head and neck cancer.

Authors:  Alvaro Sanabria; André Lopes Carvalho; José Guilherme Vartanian; José Magrin; Mauro Kasuo Ikeda; Luiz Paulo Kowalski
Journal:  Laryngoscope       Date:  2007-05       Impact factor: 3.325

6.  Long-term outcomes after multidisciplinary management of T3 laryngeal squamous cell carcinomas: Improved functional outcomes and survival with modern therapeutic approaches.

Authors:  Clifton D Fuller; Abdallah S R Mohamed; Adam S Garden; G Brandon Gunn; Collin F Mulcahy; Mark Zafereo; Jack Phan; Stephen Y Lai; Jan S Lewin; Katherine A Hutcheson; Steven J Frank; Beth M Beadle; William H Morrison; Adel K El-Naggar; Esengul Kocak-Uzel; Lawrence E Ginsberg; Merril S Kies; Randal S Weber; David I Rosenthal
Journal:  Head Neck       Date:  2016-07-28       Impact factor: 3.147

7.  Five-year survival rates and time trends of laryngeal cancer in the US population.

Authors:  Maura Cosetti; Guo-Pei Yu; Stimson P Schantz
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2008-04

8.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

9.  Impact of comorbidity on short-term mortality and overall survival of head and neck cancer patients.

Authors:  Frank R Datema; Marciano B Ferrier; Marc P van der Schroeff; Robert J Baatenburg de Jong
Journal:  Head Neck       Date:  2010-06       Impact factor: 3.147

10.  Comparison of the therapeutic effects of total laryngectomy and a larynx-preservation approach in patients with T4a laryngeal cancer and thyroid cartilage invasion: A multicenter retrospective review.

Authors:  Yoon Seok Choi; Sang Gon Park; Eun-Kee Song; Sang-Hee Cho; Moo-Rim Park; Keon Uk Park; Ki-Hyeong Lee; Ik-Chan Song; Hyo Jin Lee; Deog-Yeon Jo; Samyong Kim; Hwan-Jung Yun
Journal:  Head Neck       Date:  2016-04-04       Impact factor: 3.147

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1.  The miR-136-5p/ROCK1 axis suppresses invasion and migration, and enhances cisplatin sensitivity in head and neck cancer cells.

Authors:  Bo Yang; Jian Zang; Weili Yuan; Xuejun Jiang; Fang Zhang
Journal:  Exp Ther Med       Date:  2021-02-03       Impact factor: 2.447

2.  Evaluation of Risk Factors for Laryngeal Squamous Cell Carcinoma: A Single-Center Retrospective Study.

Authors:  Qihe Zhang; Huanhuan Wang; Qin Zhao; Yuyu Zhang; Zhuangzhuang Zheng; Shiyu Liu; Zijing Liu; Lingbin Meng; Ying Xin; Xin Jiang
Journal:  Front Oncol       Date:  2021-02-25       Impact factor: 6.244

3.  Dihydroartemisinin inhibits IL-6-induced epithelial-mesenchymal transition in laryngeal squamous cell carcinoma via the miR-130b-3p/STAT3/β-catenin signaling pathway.

Authors:  Yajing Sun; Xiuying Lu; Hui Li; Xiaoming Li
Journal:  J Int Med Res       Date:  2021-11       Impact factor: 1.671

4.  The Exosomal miR-1246 of Laryngeal Squamous Cell Carcinoma Induces Polarization of M2 Type Macrophages and Promotes the Invasiveness of Laryngeal Squamous Cell Carcinoma.

Authors:  Lifeng Wu; Na Zuo; Shuo Pan; Yue Wang; Qixue Wang; Jun Ma
Journal:  J Oncol       Date:  2022-09-26       Impact factor: 4.501

  4 in total

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